980 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention
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Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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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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to support applications in genomic diagnostics. Have obtained a MS degree with 3+ years of experience or PhD in bioinformatics, computational biology, computer science, or related field. Have a deep
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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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of cortical neurons. We aim to understand how connections between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches
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mechanisms underlying cancer risk, tumor formation, and impacts on cancer treatment for patients with hereditary predisposition to cancer. This one-year program provides fellows with advanced training in
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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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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