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-regulatory network changes. The project is part of the HEROES-AYA consortium of the German Decade against Cancer, a collaboration between multiple sites in Germany, and the Computational Biology lab of Anna
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 10 days ago
, physics, computational biology, bioengineering, or a related field with strong analytical or modeling focus. At least 4 years of experience in scientific research, research coordination, or academic project
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 3 days ago
, including postdoc/PhD supervision. Enthusiasm for coding, automation, or agile coach/ systems. Intellectual curiosity and enthusiasm for interdisciplinary science. What We Offer An initial 2-year fixed-term
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Intelligence) is being expanded into a leading German AI competence center for Big Data and artificial intelligence (AI). It is located at the TUD Dresden University of Technology and the University of Leipzig
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL