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& Economic Research! Where to apply Website https://www.academictransfer.com/en/jobs/359738/quantitative-agricultural-resea… Requirements Specific Requirements We are looking for someone with a completed
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position in the burgeoning field of neurosymbolic artificial intelligence at a thriving interdisciplinary institute in Amsterdam? Join us in the research unit of Natural Language Processing at the Institute
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—the processes of decision-making and implementation—affects justice, sustainability and inclusion in varied contexts. The group focuses on the policies, practices, and power dynamics that shape governance, asking
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exposome science; working knowledge of, or affinity with, bioinformatics and epidemiological methods; experience with analysing molecular data (such as metabolomics or proteomics, preferably using mass
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received by e-mail will not be processed. Acquisition in response to this advertisement is not appreciated. Website for additional job details https://www.academictransfer.com/359571/ Work Location(s) Number
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
Engineering » Process engineering Engineering » Water resources engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam
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these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized
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of the collaborating Post Doc, we aim to unlock innovations allowing for cell capacities up to 4 kWh and discharge durations of up to 100 hours. Where to apply Website https://www.academictransfer.com/en/jobs/359565/phd
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of Geneva and Leiden University. The postdoctoral position will be embedded within the Lorentz Institute for Theoretical Physics (https://www.lorentz.leidenuniv.nl/ ). The application process The application
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the robotics system/process. Job description You will transform data collected from manufacturing processes, robot and metrology systems into actionable insights - detecting trends, anomalies, and defects