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proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Strong foundation in machine learning, deep learning, and mathematics (linear algebra, probability, calculus, optimization
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, medical AI, operations research, statistics, applied mathematics, or biomedical engineering. Qualification Ph.D. in biology, medicine, pharmacology, chemistry, computer science, or other related research
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to the following majors: Sciences: Biological Sciences, Mathematics, Physics, Chemistry, Electronic Information, Material Sciences, etc.; Engineering: Biomedical Engineering, Biological Engineering, Materials
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, particularly data science, computational and mathematical modelling and/or systems physiology are particularly encouraged to apply. Desired candidates should have a keen interest and commitment to training and
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Political Theory Courses., 1 Education Ministry Selected Innovation Team and 1 Shandong Provincial Talent Team for Dominant Disciplines. We are recruiting high-level and outstanding young talents globally and
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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to DevOps tools, AWSand hybrid cloud architecture Education and training Bachelor’s degree in a STEM field (Science, Technology, Engineering, Mathematics) Languages Fluency in English (the working language of
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ICFO is offering a Project Engineer position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio...
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range of disciplines including mathematics, the sciences (physics, chemistry, biology, material science, engineering), and computer science, with an emphasis on the theoretical foundation of machine
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these questions, we develop mathematical and computational approaches to estimate mutation probabilities and selection. Tumor mutations are caused by diverse mutational processes, which can be identified through