165 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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opportunities for co-developing multispecies governance approaches with representatives of governance bodies and identifying ways to transform towards them. Finally, we will synthesize our learning across cases
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experts in biomarker-related work. Report study results in scientific papers. Where to apply Website https://www.academictransfer.com/en/jobs/357650/postdoc-on-prediction-subgroupi… Requirements Specific
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for benefits such as an advantageous sports subscription and bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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. Where to apply Website https://www.academictransfer.com/en/jobs/358128/postdoc-vacancy-terahertz-micro… Requirements Additional Information Website for additional job details https
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in motor control and learning to enhance clinical practice (TReND)’. The project commenced on 1 September 2024. As one of the original doctoral candidates is no longer continuing in the programme, we
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implementation, ensuring uptake in policy, healthcare practice and decision-making. The position is offered for 24 months, with a preferred start date of 1 May 2026. Where to apply Website https
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information about working at the UvA can be found here: https://werkenbij.uva.nl/en/about-working-at-the-uva . This is where you'll be working The University of Amsterdam is the Netherlands' largest university
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of these datasets with state-of-the-art computational methods. The successful candidate will collaborate with 2 PhD students on the project. Where to apply Website https://www.academictransfer.com/en/jobs/357581
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture