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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative data analytical algorithms in medcine wieth specific focus on digital device
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, and mineralogy Independent, self‑driven researcher with a strong problem‑solving mindset Proven team player, able to collaborate across multiple institutions Critical thinking to assess model
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Qualifications: MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field. Solid experience in programming and system architecture design (e.g., Python), workflow
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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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) Integrate and analyze multiple omics layers (e.g., genomics, transcriptomics, proteomics, epigenomics) to uncover biological mechanisms and identify clinical biomarkers Develop, maintain, and document
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) in an experimental model of multiple sclerosis (MS). This project builds on recent findings from the phase III Hercules trial (Fox et al., NEJM 2025) showing therapeutic effects of BTK inhibition in
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or related fields past experience with Machine Learning algorithms and systems past experience with robot control and operation programming experience with ROS, C/C++, Python and/or PyTorch experience in
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extreme scenarios. Your tasks: Conduct security and resilience studies for highly stressed systems (e.g., multiple faults, high renewable shares, or equipment failures). Evaluate system vulnerabilities and
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In glow batteries, multiple cells are connected in stacks. However, unwanted shunt currents (parasitic leakage currents) can occur, which reduce system efficiency and influence stack design
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High