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program. Applications that do not include this one-pager will not be considered. Screening is part of the application process Website for additional job details https://www.academictransfer.com/356213/ Work
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Permanent Job Status Not Applicable Hours Per Week 38.0 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
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Applicable Hours Per Week 38.0 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 Offer
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11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Maritime engineering Researcher Profile First
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physics. Proven programming skills in (preferably) Fortran or Julia, or C/C++ and Python. Where applicable, a link to your open source repositories is recommended. Other valuable skills include: Experience
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First Stage Researcher (R1) Country Netherlands Application Deadline 11 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU
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lifecycle – from application to project completion – and ensure smooth administrative processes. You also help align projects with the strategic goals of the department, faculty, and university. You will join
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requirements and work plans for the Agency’s technology programmes; defining, initiating and managing R&D activities covering both long- and short-term needs; fostering new application areas
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organoids and in vivo experiments. The candidate researcher will work closely with experienced technicians, PhD students and is involved in the writing of scientific publications and grant applications.
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Do you want to be part of a large scale national project and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES