87 parallel-and-distributed-computing-"Meta" "Meta" Fellowship positions at Nature Careers
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Training Group (RTG) “Activation of anti-Microbial Effectors (ACME)” (coordinator: Dirk Schlüter, Hannover) funded by the German Research Foundation. The central aim of the program is to give highly
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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1992, the Max Delbrück Center is home to a vibrant community of 1,800 people from more than 70 countries. The Global Fellow postdoctoral program at the MDC is a strategic initiative to recruit
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Postdoctoral Fellow – Mitochondrial Microproteins & Therapeutic Innovation Lena Ho Lab | Duke-NUS Medical School, Singapore Cardiovascular & Metabolic Disorders Programme Advance scientific
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Scientist or Research Associate) will have great opportunities to collaborate with diverse groups of physicians, geneticists, and computational/experimental biologists, and get access the large-scale patient
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joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond Street
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recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts and scientists from
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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the project and the Programme team Contribute to writing bids for research funding Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and