101 computer-programmer-"https:"-"Inserm"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in Belgium
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 15/10/2025 (DD/MM/YYYY) 23:59 (Brussels Time) → Faculty
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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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(R2) Country Belgium Application Deadline 13 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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in the field of computational political science. Position You will assist in the ongoing research project DEMO-LIES on the link between political representation and political disinformation, funded by
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to the selected candidate’s availability You will have the opportunity to be immersed in a world-class, dynamic and stimulating work environment with state-of-the-art instrumentation and computing facilities (see
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based