963 professor-computer-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, stable isotope labelling techniques, and novel method development. Data analysis and computational work (35%). Effective use of data analysis software to process and analyse MS data, including statistical
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electromagnetic methods in Geophysics Proven in-depth experience in programming numerical applications (e.g. with C++, Matlab, Python, Fortran) and using high-performance computers (HPC clusters) Ability and
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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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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, combining physics, mathematics and computational and systems biology with classical biology to explore a wide range of research fields including microbiology, RNA, chromatin and chromosome Biology, cell and
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program. The Oncology Clinical Coordinator Manager drives operational excellence by identifying and addressing inefficiencies, standardizing workflows, and leading continuous improvement initiatives related
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degree in data science, geography, environmental sciences, urban planning, computer science, design, or a related field Strong interest in sustainability, environmental systems, and spatial data Skills in
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct