278 computer-science-programming-languages-"St"-"ST" Postdoctoral positions at Nature Careers
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, with strong ties to Berlin’s broader biomedical landscape. MDC offers structured postdoctoral training programs, access to cutting-edge technology platforms, and opportunities for interdisciplinary
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. Fluency in written and spoken English, as well as strong computational skills, is required. Emphasis will be placed on personal suitability, organizational skills, collaborative work together
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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and possible sources of exposure. Key Skills, Experience and Qualifications PhD in the field of Analytical chemistry/toxicology. High technical skills in analytical chemistry applied to the detection
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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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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Program research grant, this project brings together complementary expertise of the Zhulyn (Canada), Lagha (France), vanOudenaarden (Netherlands) and Kelleher (US) labs for a team-driven, multidisciplinary
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learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse and inclusive work
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, various cutting-edge experimental and computational approaches in the areas of functional genomics, cell biology, biochemistry, single-cell/spatial multi-omics, data mining, drug screening, and disease