64 parallel-computing-numerical-methods-"Simons-Foundation" uni jobs at Nature Careers in France
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Research axis of the 3IA: Axis 3 - AI for Computational Biology and Bio-inspired AI Supervisor (3IA Chair): Emanuele Natale, Sophia Antipolis Laboratory for Computer Science, Signals and Systems
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Nature Careers | Port Saint Louis du Rhone, Provence Alpes Cote d Azur | France | about 2 months ago
and and experience in computational methods applied to structural biology. A strong publication track record.
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of the moving sources, and directionality of the DAS measurements, make the use of machine learning techniques very appealing. The doctoral student will propose deep learning methods for source separation of DAS
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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, dynamic and innovative researcher to integrate our community. The ideal candidate will possess deep expertise in the application of cutting edge computational methods to understand the brain mechanisms
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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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-resolution imaging methods is a strong advantage Strong computational and organizational skills, with attention to detail, particularly in experimental planning, documentation and sample management A high
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to the development of digital and face-to-face methods for public involvement, by shaping the theories, methodologies, and tools that underpin participatory knowledge production in human services. Active in research
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policies. The University of Luxembourg aims to play a key role in this public-facing co-productive knowledge landscape. This position will contribute to the development of digital and face-to-face methods