407 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at Nature Careers
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Professors. Further information about the Faculty Global Talent Recruitment Scheme is available at https://www.med.cuhk.edu.hk/about-us/career. Strategic Recruitment Areas Applications are especially
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translation in mind. Our partners are the Medical University of Vienna, the St. Anna Children’s Cancer Research Institute (CCRI) and AITHYRA, the newly founded Research Institute for Biomedical AI
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systems, and clinical perspectives, allowing the candidate to acquire valuable skills and establish a strong independent research profile. Please submit the following application materials
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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of Science and the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best Workplaces in Health Care & Biopharma" and Glassdoor's "Best Places to Work," and is located in the heart
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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Job Description St. Jude Children's Research Hospital is searching for a self-motivated, driven individual with a background in biological or biomedical science who is looking for an exciting and
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understanding and generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision-language models, computer vision applications for space. Key responsabilities: Shape research
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image/signal processing, particularly in computer vision.Strong programming skills and experience with at least one deep learning framework e.g. TensorFlow or PyTorchFamiliarity with machine learning and
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp