108 molecular-modeling-or-molecular-dynamic-simulation-"Prof" PhD positions in Sweden
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, microbiology or mycology. Familiarity with mycology and the Nordic forest ecosystems is desired. Previous experience with ecology, molecular biology work, bioinformatic and nature conservation are meritorious
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in fluid dynamics, turbulence modeling, CFD, and turbomachinery. Experience with CAD and CFD tools (e.g., Ansys Fluent, CFX, StarCCM+, OpenFOAM). Programming skills (e.g., Python, MATLAB). Knowledge
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dynamic soil moisture map that reflects weather changes. By developing digital dynamic soil moisture maps, decision support systems for route planning can be used to optimize the balance between forest
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to address critical issues related to the reliability and quality of large language models (LLMs) such as ChatGPT and Gemini. These models are increasingly used in essential sectors like healthcare, education
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to Swedish industry, a dynamic research culture, and focus on practical impact and innovation. As a PhD student here, you will be part of a supportive team, with access to cutting-edge XR and AI research
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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International Business School (JIBS), one of four schools at Jönköping University, is a dynamic and rapidly growing business school internationally recognized for its diverse and vibrant academic community
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-depth investigation of a class of vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Funding category: Autre financement privé
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop