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is also a team player within an interdisciplinary and international research environment; • Has an excellent command of academic English; a good knowledge of Dutch is a strong asset given the data
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-processing, and visualization. Transferable Skills • Scientific writing skills in English (good written and oral proficiency required). • Ability to work independently and tackle complex scientific problems
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that values scientific excellence, creativity, meaningful collaborations, and even makes room for good conversations over high-quality tea. Job description As a PhD candidate, you will contribute to cutting
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simulations. Your Profile Excellent completed master's degree in physics, materials science, engineering or a related field. Good knowledge of solid state physics. Ideally, experience in the fields
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
salary: 2 300 € Selection process Please send your CV and cover letter. Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2026-10219 Work Location(s) Number of offers
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research and in work psychology. You have an interest in both quantitative and qualitative methodologies. You have good command of both Dutch and English. You enjoy writing and are skilled at it. You are
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of the role of diet in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and phenomena
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requirements are uncovered and different approaches evaluated. This may be a technical, process, or behaviour based intervention. Evaluating the intervention:. The candidate will evaluate the intervention within
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
our website: https://www.list.lu/ How will you contribute? You will contribute to the ENERGY-RESILIENT-UA project, which aims to support vulnerable communities in Ukraine through resilient, low-carbon
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supervised by Mykola Pechenizkiy, Cassio de Campos and Clemens Dubslaff. Where to apply Website https://www.academictransfer.com/en/jobs/362817/phd-in-resilient-machine-learni… Requirements Specific