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this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter
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of data. This postdoc is based in the Philosophy group and affiliated with the EU Partnership Agriculture of Data (AgData) . In its first two-year exploratory phase (2025-27), this program seeks to develop
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
the project. Regarding AI development, LLMs4EU aims to create AI-based technologies that actively mitigate and manage associated risks. The tools developed by the project will be fully aligned with European
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an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based
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%. In addition, you are entitled to 176 vacation hours per year (based on a 36-hour work week). Compensation You will receive a €0.18 per kilometer travel allowance. Public transport costs (2nd class) are
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the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final
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gross monthly salary between € 4.925 and € 6.682 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3% year-end bonus. 29 vacation days (based on full-time), four
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engaged environment. We offer: An 18-month contract (0,8-1,0 FTE). A gross monthly salary between € 4.925 and € 6.682 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3
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based device is seen as better alternative compared to their non-degradable, fossil-based, gastric balloon, and single-use drugs. Your duties and responsibilities include: gain a deeper understanding of
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds