3,432 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" PhD positions
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and the national DDLS program. You can read about the workplace here: https://liu.se/en/organisation/liu/ifm https://www.scilifelab.se/data-driven/ https://www.scilifelab.se/units/cryo-em/ https
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programming skills in Python. You have programming experience in C/C++ or MATLAB (preferred). You have experience with softwarized network stacks or RAN architectures, such as OAI, srsRAN, and FlexRIC
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contact Dr. Ferran Adelantado (ferranadelantado@uoc.edu ). Additional comments This contract is Funded by the European Union under de project GA Number 101227315. Website for additional job details https
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Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
Deadline 6 Mar 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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The Crop Innovation Centre - Skills, Technology and Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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submitted to Interfolio: https://apply.interfolio.com/183006 . For further information or guidance on how to apply, please email Dr. Niki Labbe at nlabbe@utk.edu. Required Application Materials: a cover
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department
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: inge.vanhulle@kuleuven.be or Prof. dr. Wouter Druwé, mail: wouter.druwe@kuleuven.be .In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python