60 software-verification-computer-science-"insights"-"Washington-University-in-St" Postdoctoral positions at Nature Careers in Germany
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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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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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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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
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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with an annual research budget of 3.4 billion euros. The Fraunhofer Institute for Molecular Biology and Applied Ecology IME conducts applied life sciences from the molecule to the ecosystem. It is our
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Area of research: Scientific / postdoctoral posts Job description: Researcher - Engineering & Physics for Biomedical Innovations (f/m/x) 102788 Full time 39 hrs./week Neuherberg near Munich
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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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Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms