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implementation science, and leveraging computational innovation, the lab examines these relationships across exposures, tissue types, life stages, and populations to identify opportunities for prevention and early
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seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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design. The position will primarily investigate G protein-coupled receptors (GPCRs) involved in cardiovascular and hormone signaling pathways using computational approaches such as molecular dynamics
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and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees, for employees Instructions to Applicants: Applications
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network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A successful candidate will hold a PhD degree in Computer
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 10 days ago
not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control
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directly with the project’s visiting scholars during their residencies at Panmure House. Responsibilities Common to all Three Posts Research delivery Design, plan and deliver the research programme for
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 12 days ago
at the reception of the instrument. The research assistant will also train and assist students and postdoc with their experiments in the lab and will participate to original experimental designs. The research
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for analysing movement and behavioural data. Strong knowledge of statistical analysis, experimental design, and reproducible computational research. Experience with scientific Python libraries (NumPy, SciPy