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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European
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the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
Job Code: 25/021 Job Offer from May 28, 2025 The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is the
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, coding pipelines for optical imaging/photometric data analysis, and spectral modelling, are strongly encouraged to apply. Successful candidates will be encouraged to develop independent projects in
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expertise in bioinformatics, coding languages, and statistical analysis tools. • A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and communities
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368778 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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reproducible code and results. A clear, concise communicator, you thrive in multidisciplinary teams, mentor junior scientists and manage projects autonomously while remaining open to constructive scepticism and
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems