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, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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the impact of (early-life) stress on the endocannabinoid system and its potential as target for intervention in the context of depression. This project has been funded by the NWO Gravitation project ‘Institute
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relevance, supporting AMCOR’s transition toward circular production models aligned with EU Packaging and Packaging Waste Regulation (PPWR) targets. Your role Work primarily at FIP-AM@UT, applying advanced
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qualified and motivated PhD candidate to conduct research activities aimed at unravelling the impact of (early-life) stress on the endocannabinoid system and its potential as target for intervention in
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. Think, for example, of a municipality that strives to address climate targets by realizing 50 new power stations in their city while citizens aim for a quiet living situations with little interventions
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characterize target workloads for the FNS 6G initiative (e.g., data analytics pipelines, network functions virtualization, data‑plane acceleration).- Investigate what techniques and abstractions are most
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for targeted exosome analysis which can also be applied to other volume-limited samples. This position is part of the EU-funded DRAGON project, which brings together biomedical and clinical partners from Italy
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to predict molecular subtypes in bladder cancer. Ultimately, the project seeks to identify novel therapeutic targets and validate these using bladder cancer organoids. You will be the first to create