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biological and chemical processes. Conduct R&D on the complete treatment and separation process o evaluate the effects of impurities in input gas, methods of input gas pretreatment, and output gas post
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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) Familiarity with using R and/or Python for answering biological questions (desired) WE OFFER: An international, multidisciplinary, and creative working environment Innovative technologies Excellent
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;Leverage advanced methodologies to integrate multimodal imaging, genomics and proteomics data to dissect mechanobiology mechanisms of complex biological systems;Plan and perform R&D activities, develop
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application with Mrs Veronique Martin-Lang, Chief Engineer Data Science and Analytics, and Mrs. Eman Ahmed and Mrs Maja Adzaga, Data Scientists and Marcel Wirtz ,R&D Grant and Partnership Manager, all four from
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of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data) Experience in R or Python Application instructions: Please send a CV, a brief cover letter describing your research
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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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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R