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This position focuses on investigating vehicle-track-ground interaction dynamics with a particular emphasis on the critical speed induced by high-speed trains. The candidate will contribute
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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-reported dietary data with objective biomarkers to improve exposure assessment and help explain why some individuals develop disease while others remain healthy despite high sugar consumption. You will join
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element simulations to create intelligent design tools Industry Collaboration and Utilization Work closely with startup partners to ensure research alignment with commercial objectives Participate in
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well as a detailed plan to conduct fieldwork in Sweden, Finland or The Netherlands. Track record in sustainability, degrowth, postwork, social movements, or similar. Excellent English language skills
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optimize industrial processes. -Collaborate with academic and industrial partners to support technical innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge
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converter-based energy resources across diverse grid scenarios. The ultimate goal is to enhance grid reliability, stability, and resilience under evolving energy system conditions. Key objectives include
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goal is to enhance grid reliability, stability, and resilience under evolving energy system conditions. Key objectives include: Identifying and quantifying the essential grid services required
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. The Fellowships are tenure-track positions with the host organizations, which assume the responsibility for the long-term faculty appointments following a tenure evaluation. The future of life science is data