1,350 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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Shenzhen's enterprising spirit of "daring to try and experiment". It adheres to the educational philosophy of "cutting-edge fields, interdisciplinary studies, applied scholarship, and international standards
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oversee massive simulation pipelines, real-world robotic deployments, and interdisciplinary collaboration across AI, mechanical systems, and cognitive science. This role also plays a key part in building
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, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking
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The Fred Hutchinson Cancer Center (Fred Hutch) and the University of Washington (UW) are jointly recruiting a full-time faculty member for their Sarcoma Program. The position will be dual appointed
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(including gastruloids) to study epigenetic regulation in development. An interdisciplinary environment with opportunities for collaboration across experimental and computational life sciences within MBG and
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, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking
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Job Description The Formulation Sciences Program and laboratory of Dr. Brooke Bernhardt at St. Jude Children's Research Hospital is recruiting a motivated postdoc researcher. The post-doc will be
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expertise in genetic-epidemiological data analysis in UKBiobank and/or AllofUs. Additionally, you have a PhD/doctorate in a life-science related discipline (e.g., life-science informatics, molecular medicine
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research missions of the Division, with a primary focus on co-directing the development of a state-of-the-art, multidisciplinary Pulmonary Hypertension (PH) Program at CUIMC. The successful candidate will
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for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning