1,601 processor-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "CSIC" Fellowship positions
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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality
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initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/. Queen's University is
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for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/. Queen's University is committed
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to apply: https://www.jobbnorge.no/en/available-jobs/job/308911/postdoctoral-fellow Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308911/postdoctoral-fellow Requirements Research
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prototyping process for the project publication -Contribute to the pre-production of final prize objects for the 2027 and 2028 award ceremonies... (see call) Where to apply Website https://www.unibz.it/it/home
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning
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. Certificates/Credentials/Licenses A PhD is required in a closely related field (e.g. Chemistry, Physics, Biophysics, Biochemistry, Molecular biology, etc) Computer Skills Academic and research software relevant
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Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID promotes cooperation
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microscopy for cellular morphological analysis.Documentation: data processing, drafting scientific reports or manuscripts, and weekly progress monitoring. Where to apply Website https://pica.cineca.it