30 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P"-"FEMTO-ST" "Dr" positions at Ghent University
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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 Last application date
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Last application date Nov 30, 2025 23:59 Department WE11
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22 Oct 2025 Job Information Organisation/Company Ghent University Research Field Computer science » Programming Computer science » Other Criminology » Other Economics » Business economics
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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 → Apply before 14/11
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of Contract Temporary Job Status Full-time 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
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(either in classes or in projects/work) is a must. You have experience or you have studied at least one Hardware Description Language. You must be familiar with FPGA programming, hands on experience with
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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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Recognised Researcher (R2) Country Belgium Application Deadline 27 Oct 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Part-time Is the job funded through the EU Research Framework Programme? Not
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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 until 04/11/2025 (DD/MM/YYYY) 23:59 (Brussels time) → Faculty
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complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high-throughput omics, Linux command line, machine learning and