1,006 computer-science-programming-languages-"Prof.-Dr"-"Prof" positions in Netherlands
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with the following qualifications: Strong communication skills, both written and verbal, in Dutch and English. Comfortable writing in English. Proficiency in Microsoft Office Suite and familiarity with
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the QIA programme. Maintain regular contact with QIA’s technical teams to stay updated on progress and emerging opportunities. Contribute to building and maintaining a consolidated innovation strategy for
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applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant economic
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The successful applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant
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is part of the R&D programme of GroenVermogenNL. You will work closely with other colleagues involved in GroenVermogen including Aad Correljé, Toyah Rodhouse, Eugen Popa and Udo Pesch. You will join a
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, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed
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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 There is an increasing demand for infrastructure services while, at the same
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to critical metal exploration in magmatic settings. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated
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in a Master’s program in physics, chemistry, materials science, nano-science, sustainable energy, or a related field. You have a nationality of an EU-member state and/or you are a student at a
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The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years