51 parallel-and-distributed-computing-phd uni jobs at Technical University of Denmark in Denmark
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expectations of you You are an experienced software engineer or research developer with a proven track record of delivering software solutions for complex engineering problems. Your qualifications include: PhD
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. The job You will be a key contributor to the ongoing projects at DTU Chemical Engineering. Our large, well-equipped laboratory is used daily by both PhD students, Postdocs, researchers, and students, and we
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. Our expectations of you Strong scientific background – a PhD within biomedical imaging, radiopharmacy, radiochemistry, or similar. 15+ years of research experience in preclinical imaging and 3+ years
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Computer Science and a PhD or equivalent within structural optimization. Preference will be given to candidates with experience within large-scale topology and/or shape optimization and HIP based clusters
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formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Computer Science, Data Science, Materials Science and Engineering, Chemical Engineering, Environmental Engineering
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, resulted in the EU adopting the “Action Plan for reducing incidental catches of seabirds in fishing gears”. To assess the magnitude and spatiotemporal distribution of bycatch in gillnet fisheries in Danish
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strategies and activities led by organisations such as WHO, ECDC, EFSA, FAO, WOAH, and the European Commission. Qualifications The ideal candidate will: Hold a PhD in veterinary or medical microbiology
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are to support the integration of computational workflows, data pipelines, and interactive dashboards, within research projects (including population surveys and randomized trials). Your main responsibilities
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expertise in microbial strain engineering and are eager to contribute your skills to innovative research and development. Additionally, your CV comprises: A PhD degree (or equivalent) in a relevant scientific
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scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large majority contributes to our research infrastructure and related