2,740 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" Fellowship research jobs
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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. Salary and benefits are commensurate with NIH rates based on training and years of experience. The Adolescent Behavioral Health Research Program (https://medicine.iu.edu/departments/pediatrics/specialties
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
networks or similar machine learning technologies applied to DNA; Preferential: Experience with transcription factor motif discovery; Proficiency in high-throughput sequence alignment methods; Candidates who
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Center, Nashville, TN, USA https://medsites.vumc.org/choksi-lab Position Type: Full-time Position Summary We’re seeking an intrinsically motivated and highly skilled Postdoctoral Research Fellow to join
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow who can
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and training in generic transferable skills organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk
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Where to apply Website https://apply.refline.ch/673278/3880/Hx8Y-SdMiw1DCY4-1Mq8ARkV64YZa8Bj6mgsDLhBCP… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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: This is a 12-month, full-time position with benefits. Visas may be arranged. You can find more information on benefits for Harvard employees here: https://hr.harvard.edu/health-welfare-benefits. Basic
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representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography. By linking defect