19 phd-computer-engineering-"Diamond-Light-Source"-"Diamond-Light-Source" Postdoctoral positions at Nature Careers in Belgium
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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Systems Engineering, Computer Science, Software Engineering, Mathematics, or a related field Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer
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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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(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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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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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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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based