1,037 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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, and computer scientists to ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason
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on major national tasks around synthetic and engineered cells, leading the CAS Strategic Research Program (Category B) and the National Natural Science Foundation of China's Basic Science Center Project
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UCL is a world-leading, global university with a community of more than 51,000 students from 150 countries and over 18,000 staff which pursues academic excellence, breaks boundaries, and makes a
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harbors over 200 researchers in 19 research groups supported by 6 core-facilities, including the CIC. Information on the individual CTI research groups can be found at: https://research.umcutrecht.nl/center
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doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally.Candidates can select from a cross-faculty list of supervisors
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. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally. Candidates can
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department. Area of Research : Candidates with an internationally competitive scientific track-record and an innovative research program in molecular biology, biotechnology and/or synthetic biology of
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that support world-class bioimaging-based research, integrate high-end bioimaging technologies into relevant education programs/activities. Key Responsibilities: The primary mission of this role is not
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(see https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service for more information). Candidates with disabilities and essentially equivalent qualifications will be given
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curATime (Cluster for Atherothrombosis and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR