65 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral research jobs in Netherlands
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trends and results, as input to the strategic planning of the Agency. The team has been at the forefront of research in differentiable programming and intelligence, particularly in its applications in
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. We aim to unravel cell signaling programs that underlie adverse xenobiotic-induced adverse responses that drive pathological outcomes. A focus is on critical target organs of toxicity, e.g. liver
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whole, ignoring that specific factors likely matter more for some groups than for others because the meanings they ascribe to climate change differ. This project (funded through the Vici programme of
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). This includes identifying new factors that drive disease progression. The primary focus will be on using state-of-the-art genetic programming (in particular: GP-GOMEA) for small, explainable expression discovery
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology and ecology. To achieve this, you will collect data from databases, reviews
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and processes) by shadowing as well as receiving coaching and tutoring from one of our Senior PA Engineers. You will perform this task in parallel to specific Mission Classification activities described
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to reduce these emissions by at least 1 Mton in 2030. In support of these policies, several research projects funded at (sub-, inter-) national level (such as the Netherlands Research Programme on Greenhouse
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. Explore options for high level assessment of environmental and social impacts of individual CCUS projects. Conduct multiple CCUS exemplary case studies in the Netherlands and support project partners in
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going to do Analyze a uniquely extensive neuroimaging dataset (90 minutes of functional MRI per participant across multiple sessions and conditions, detailed structural and diffusion-weighted data
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English and strong academic writing skills; A systems-thinking mindset, with the ability to integrate insights from multiple domains and contribute to a cohesive research framework You can see that