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, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a
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of statistical and quantitative methods for analyzing complex, highdimensional datasets Good understanding of biochemical principles, including mass spectrometry Good programming skills (Python and/or R) Strong
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scientific computing and data analysis, including programming or scripting in Python or comparable scientific programming environments, and experience working in Linux and/or high-performance computing
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national and international collaborators. It is allowed one day of home office per week (flexible) Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5819-MARCAR-001/Default.aspx Requirements
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“Prediction of response to immunotherapy in melanoma using metabolic signatures of the gut mycobiome”, funded by National Science Centre. Where to apply Website https://system.erecruiter.pl/FormTemplates
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programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). The Structural Chemistry section at the Department of Chemistry – Ångström
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, Mathematics, Biomedical Engineering Outstanding doctoral degree in one of the above disciplines Significant programming skills (preferably in Matlab or Python) Strong, long-standing experience in data-driven
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with collaborators involved in genomic and bioinformatic analyses. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8261-ZEYTAD-002/Default.aspx Requirements Research FieldChemistryEducation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
-Experience designing, training, and evaluating deep learning models in Python (PyTorch preferred), beyond applying off-the-shelf pipelines -Hands-on experience with transformer and/or convolutional
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting gram