290 computer-science-programming-languages-"U.S"-"U.S" Postdoctoral positions at Nature Careers
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the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centres
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discipline (e.g. Medical Informatics, Computer Science, Data Science, Computational Social Science, Epidemiology, Biostatistics, etc.) Strong research track record, programming, and implementation skills
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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of food-induced anaphylaxis, to study functional immune changes in a longitudinal mode. Integrating those clinical and immune data will generate computational models to endotype patients and to decipher
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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of epithelial plasticity in kidney repair to contribute to the preparation of scientific publications, grant applications and presentations to contribute to teaching in Biomedical Sciences (Master programme
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology