1,101 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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with a world-class research program, in the school(s) and department(s) best suiting the candidate. Looking for a dynamic individual to join our faculty and lead efforts in this rapidly evolving field
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in data and computational science, including omics and artificial intelligence approaches are of particular interest, but strong candidates in any cancer-related biomedical area are encouraged to apply
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compatibility of private and professional life; offers of mobile and flexible work - family-friendly company policy with childcare facilities, e.g. nursery close to the company - free assistance program for
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stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tolinda.petersohn@tu-dresden.de or to: TU Dresden
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researchers in the implementation of their research programme at the host institution. (https://www.fnr.lu/funding-instruments/pearl/) Your Profile… Outstanding track record in the field of translational
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start-up package, state-of-the-art facilities, and a collaborative environment. Applicants must hold a Ph.D. in biomedical engineering or related fields (e.g., biology, chemistry, computing, engineering
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of Prof. David Clifton (https://eng.ox.ac.uk/people/david-clifton ). Research will be undertaken in collaboration with clinical colleagues in the Oxford University Hospitals NHS Foundation Trust and other
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research project funding; Demonstrate the ability to establish a distinguished research programme aligned with the University's strategic research areas; Commit to delivering high-quality teaching and
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. Applicants with postdoctoral experience are preferred. The successful candidate will be expected to build an internationally prominent research program by bringing and maintaining an active, externally funded
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280 international programs of different types. The University has currently established four world-classdisciplinary groups: computer data science, materials chemistry, biomedical science, and economics