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Description ICIQ Summer Fellowship Programme offers up to9 fellowships to national and international undergraduate students to give them the opportunity to learn, work and live in an exciting environment
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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intelligence/machine learning skills. The candidate’s research proposal must be closely connected to the call and the research of NCEI. Excellent skills in written and oral English. Personal suitability and
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experience in the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 1 month ago
, and Higgs) and in the HL-LHC detector upgrades for Phase2 (MTD, PPS). At LIP, we operate a Tier-2 computer center, provide resources for data analysis both locally and as a part of the CMS computing
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proposal for research support, investigators must first register with our online portal (https://nmss.fluxx.io ) and complete a pre-application. Staff will review the pre-application to determine whether the
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography/public/ Your qualifications should
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proposals. Responsibilities Develop, implement, and evaluate new statistical and machine learning methods aligned with the two themes above. Lead and co-author manuscripts in statistical, machine learning
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stimulating and interdisciplinary environment, and receive high-level training as well as extensive admin and tech support. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=947