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Doctoral Network “SCARPA – Sustainable and Circular Footwear Training Program” within the Horizon Europe Programme of the European Commission. SCARPA is a consortium of high-profile universities, research
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. degree relevant to the position (i.e., with a focus on computer science) with first class performance as demonstrated through outstanding grades, M.Sc. thesis results and/or publications. You have a strong
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opportunity to contribute to both a high-profile international research initiative and an applied interdisciplinary project with non-academic partners. Pending the successful renewal of ECoBird’s programme
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2025 - 22:59 (UTC) Type 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
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10 Oct 2025 Job Information Organisation/Company Ghent University Research Field Communication sciences » Media studies Computer science » Other Psychological sciences » Behavioural sciences
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strong multidisciplinary consortium of research groups and industrial partners, the first steps in this endeavor will be performed. You will play a major role in conceptualizing, co-creating, conducting
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this multidisciplinary team, the candidate will have access to state-of-the-art technologies (massive parallel sequencing, mass spectrometry-based proteomics, high-performance computing infrastructure and data science
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Belgium Application Deadline 27 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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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this multidisciplinary team, the candidate will have access to state-of-the-art technologies (massive parallel sequencing, mass spectrometry-based proteomics, high-performance computing infrastructure and data science