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to genetic, genomic, and clinical data analysis are strongly encouraged to apply. Proficiency in programming languages such as Python or R (C/C++ is a plus). Prior experience working with genomic and other
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
discipline • Proven experience in multi-omics data analysis, variant interpretation, and/or statistical genomics • Extensive knowledge and practical experience of NGS • Experience in the usage of R (including
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essential. Prior experience in informatics/programming (Python, R) or omics data analysis is not required but a strong interest in developing these skills is highly desirable. Starting salary will follow NIH
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desirable. Basic computational analysis skills (e.g., R or Python for sequencing data) are a plus but not required. Candidates must be team-oriented, organized, and enthusiastic about collaborative science
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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., PyTorch, JAX, TensorFlow, R, Bash). Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature Methods, Nature Biotech). Background in at least one of the following: generative modeling
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model simulation techniques. Can conduct data analysis and visualize results in R or comparable tools. Has knowledge of environmental risk assessment of pesticides on non-target organisms. Possesses basic
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, Berkeley Madonna, and Microsoft Office. Experience with statistical data analysis and related packages, such as SPSS and R. Skills Highly motivated Fluent in English Organizational skills Manuscript writing
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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analyses (e.g. R, Python) Fieldwork experience in ecological or environmental sampling Scientific publishing and project coordination Who we are The Department of Ecoscience is engaged in research programs