320 computer-science-programming-languages-"U" Postdoctoral positions at Nature Careers
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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: ausschreibung10-25@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11 37077 Göttingen
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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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, physics, mathematics, computer science, or related fields Demonstrated hands-on experience with machine learning techniques Strong programming skills (Python preferred) Experience analyzing time-series data
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Systems Engineering, Computer Science, Software Engineering, Mathematics, or a related field Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research
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your own research plan should contain a clear description of the planned combination of computational chemistry methods focused on 3D-based generative modelling, and a strategy of training potency models
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Posting Title: Postdoctoral Scholar (Multiple Positions), Medicine - Biomedical Sciences Medicine-Structural Biology Department: College of Medicine, Medicine Biomedical Sciences Job ID: 60397
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort