KSQM Calendar

Cooling to cryogenic temperatures is essential for various applications in quantum research, low-temperature physics, and material science. In this talk, an introduction to different cryostat technologies and comparison of their advantages and limitations is given. A particular focus will be on dilution refrigerators and demagnetization cooling—two key techniques for reaching the milli-Kelvin regime. Additionally, best practices and common pitfalls when setting up cryogenic experiments are discussed. Finally, exciting recent developments and future trends in low-temperature technology are explored.

Get ready for this year's retreat—it's going to be an amazing experience! Here’s what’s in store:
 
Oral Presentation Sessions: Dive into engaging discussions and share your latest research findings with fellow members.
 
Poster Sessions: Show your research with a poster presentation, spark conversations, and get feedback from your peers.
This retreat is all about connecting, collaborating, and strengthening the KSQM community. Plus, it's a perfect chance to highlight your work and gather valuable input.
 
Networking Opportunities: Meet and mingle with other members in a relaxed, friendly setting designed for building connections and swapping ideas.
 
We can’t wait to see you there and make KSQM Retreat 2025 something truly special!

Get ready for this year's retreat—it's going to be an amazing experience! Here’s what’s in store:
 
Oral Presentation Sessions: Dive into engaging discussions and share your latest research findings with fellow members.
 
Poster Sessions: Show your research with a poster presentation, spark conversations, and get feedback from your peers.
This retreat is all about connecting, collaborating, and strengthening the KSQM community. Plus, it's a perfect chance to highlight your work and gather valuable input.
 
Networking Opportunities: Meet and mingle with other members in a relaxed, friendly setting designed for building connections and swapping ideas.
 
We can’t wait to see you there and make KSQM Retreat 2025 something truly special!

Get ready for this year's retreat—it's going to be an amazing experience! Here’s what’s in store:
 
Oral Presentation Sessions: Dive into engaging discussions and share your latest research findings with fellow members.
 
Poster Sessions: Show your research with a poster presentation, spark conversations, and get feedback from your peers.
This retreat is all about connecting, collaborating, and strengthening the KSQM community. Plus, it's a perfect chance to highlight your work and gather valuable input.
 
Networking Opportunities: Meet and mingle with other members in a relaxed, friendly setting designed for building connections and swapping ideas.
 
We can’t wait to see you there and make KSQM Retreat 2025 something truly special!

 
This four-part seminar focuses on the technology, structure, and use of Big Data systems. It begins with the fundamentals of cluster technology and scalable, high-availability data. Subsequent sessions deal with systems and libraries for data storage and processing related to these topics. Concepts and functionalities are explained and demonstrated. Participants will learn how to install and use these systems locally. Using Python examples, participants will be familiarised with the systems and will be able to assess their areas of application.
Introduction to Big Data: Scalable, Highly Available Storage and Systems Efficient Data Processing with Spark Key-Value and Wide Column Stores for Fast Access Data Understanding and Visualisation  
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

 
This four-part seminar focuses on the technology, structure, and use of Big Data systems. It begins with the fundamentals of cluster technology and scalable, high-availability data. Subsequent sessions deal with systems and libraries for data storage and processing related to these topics. Concepts and functionalities are explained and demonstrated. Participants will learn how to install and use these systems locally. Using Python examples, participants will be familiarised with the systems and will be able to assess their areas of application.
Introduction to Big Data: Scalable, Highly Available Storage and Systems Efficient Data Processing with Spark Key-Value and Wide Column Stores for Fast Access Data Understanding and Visualisation  
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

 
This four-part seminar focuses on the technology, structure, and use of Big Data systems. It begins with the fundamentals of cluster technology and scalable, high-availability data. Subsequent sessions deal with systems and libraries for data storage and processing related to these topics. Concepts and functionalities are explained and demonstrated. Participants will learn how to install and use these systems locally. Using Python examples, participants will be familiarised with the systems and will be able to assess their areas of application.
Introduction to Big Data: Scalable, Highly Available Storage and Systems Efficient Data Processing with Spark Key-Value and Wide Column Stores for Fast Access Data Understanding and Visualisation  
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

 
This four-part seminar focuses on the technology, structure, and use of Big Data systems. It begins with the fundamentals of cluster technology and scalable, high-availability data. Subsequent sessions deal with systems and libraries for data storage and processing related to these topics. Concepts and functionalities are explained and demonstrated. Participants will learn how to install and use these systems locally. Using Python examples, participants will be familiarised with the systems and will be able to assess their areas of application.
Introduction to Big Data: Scalable, Highly Available Storage and Systems Efficient Data Processing with Spark Key-Value and Wide Column Stores for Fast Access Data Understanding and Visualisation  
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

You will learn the Seyens Method™—a comprehensive design philosophy, process, and set of strategies tailored specifically for scientists to visually communicate your own complex ideas so your messages are effortlessly understood by scientists or non-scientists.
It is a structured, no fluff, memorable, easy to follow, useful and fun training that will empower and enable you to create effective images, slides, posters, and grants. You will imediatelly apply the new skills to communicate your own science, draw a graphical abstract and discuss it with your peers and receive actionable feedback on your images and slides.
 
Aim:
You will learn the Seyens Method™—a comprehensive design philosophy, process, and set of strategies tailored specifically for scientists to visually communicate your own complex ideas so your messages are effortlessly understood by scientists or non-scientists.
It is a structured, no fluff, memorable, easy to follow, useful and fun training that will empower and enable you to create effective images, slides, posters, and grants. You will imediatelly apply the new skills to communicate your own science, draw a graphical abstract and discuss it with your peers and receive actionable feedback on your images and slides.
 
Content:
Self-study module—Mandatory Fundamentals, Slides, and Homework (5 h)
Fundamental Visual Communication: understand how human visual perception and psychology shape our interpretation of visual information. Discover a science-based design method to visualize your research, making it easily comprehensible. We will cover strategic use of layout, eye-flow, colors, and typography applied to all types of scientific images. Slides, Posters, Grants: you will learn how to apply the Seyens Method™ design philosophy and strategies introduced in the Fundamentals to slides, posters, and grants. This will give you a holistic approach that builds from the first principles, makes sense and is easy to remember and apply.  Homework: submit your images and slides to receive personalized feedback.  
        Live Workshop—In person (7–8 h)
Recap and Q&A: an effective review of self-study topics and optional
1-on-1 consulting with facilitator to address your individual challenges. Feedback on your submitted materials: you will get actionable suggestions
on how to improve your own scientific images and slides. Discussions on your own posters, grants, and other means of visual science communication encouraged. Graphical abstract drawing exercise: you will draw a sketch of your research Peer-instruction group discussion: you will give and receive informed and structured feedback to improve yours’ and other participants’ images.  
 Trainer: Dr. Jernej Zupanc, Founder of Seyens Ltd.
 "My mission is to empower scientists to effectively communicate their ideas and findings, maximizing the impact of their research. I am passionate about teaching and communication, continually seeking innovative approaches from various fields that can be quickly and easily applied by scientists. I simplify these principles into engaging learning experiences where participants imediatelly get results."