HGS MathComp - Where Methods Meet Applications
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. The program supports students in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life-sciences, physics, and chemical engineering sciences to cultural heritage. A strong focus is put on the mathematical and computational foundations: the theoretical underpinnings and computational abstraction and conception.
HGS MathComp Principal Investigators are leading experts in their fields, working on projects that combine mathematical and computational methodology with topical research issues. Individual mentoring for PhD candidates and career development programs ensure that graduates are fully equipped to take up top positions in industry and academia.
Current Opportunities
4EU+ Joint DFH/UFA workshop on AI in Medicine: Optimised Trials with Machine Learning (Paris)
Deadline: April 30, 2024
Upcoming Events [see all...]
16:30 - 18:00
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Registration: Please register via this form
Organizer: MLAI
To help plan the catering, please register for free by clicking here. (Deadline: April 23, 2024)
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields. The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage • Machine Learning Talks on Campus – Information service and mailing list • STRUCTURES Cluster of Excellence
Tobias Buck, Holger Fröning, Denis Schapiro
Science talks:
• William Oliver (Buck lab): Machine Learning for cosmological simulations
• Hendrik Borras (Fröning lab): Probabilistic Photonic Computing with Chaotic Light
• Miguel A. Ibarra Arellano (Schapiro lab): Finding broken cells with AI and computer vision
Organizer: HGS MathComp
The BlueSheet Meeting will be held online for all new members of HGS MathComp on April 30, 2024 between 14:00 - 15:00.
“Meta-analysis of chronic kidney disease single cell atlases“
10:50 - Chiara Schiller (Supervisor D. Schapiro)
“Profiling intrahepatic cholangiocarcinoma samples to leverage spatial information into clinical Applicability“
11:10 - Philipp Schäfer (Supervisor J. Saez-Rodriguez)
“Dissecting immune system dysfunction with spatial omics data”
11:30 - 10-minute break
11:40 - Bárbara Zita Peters Couto (Supervisor J. Saez-Rodriguez)
“On Targeted Therapy Discovery to Overcome Chemoresistance in Ovarian Cancer“
12:00 - Leonie Küchenhoff (Supervisor J. Saez-Rodriguez)
“Fibrotic disease signatures across organs”
12:20 - Miguel Ángel Hernández Hernández (Supervisor J. Saez-Rodriguez)
“Multi-omic integration and analysis of IgA nephropathy disease mechanisms”
12:40 - 80-minute break / 12:45 - 13:30 HGS MathComp Mixer
14:00 - Marc Ickler (Supervisor F. Hamprecht)
“Machine Learning for Molecular Physics”
14:20 - Carolin Lindow (Supervisor A. Marciniak-Czochra)
“Mathematical modelling and model-based data analysis of structured stem cell systems”
14:40 - 10-minute break
14:50 - Albert Li (Supervisor C. Herrmann)
“Development of deep learning models to predict context-specific response to interferon treatment”
15:10 - Fariha Mahzabin Annesha (Supervisor J. Wittbrodt)
“Correlative Super-Resolution light and X-ray Microscopy to probe genome organisation in Cells”
Organizer: HGS MathComp
It would be great to see you at the mixer. Please feel free to share this invitation with other PhD and master students who might be interested.
See you at the HGS MathComp Mixer!
Michael & Rob