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The Holme group is a new and dynamic interdisciplinary team working on several aspects of lipid-based drug delivery vectors. We are now looking for a highly motivated candidate with a Master’s
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of relevance: Documented expertise and skills in mathematical modelling of community dynamics is a requirement, and proficiency in statistical time series analyses in community ecology is desirable. Skills in
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based on advanced methods in statistical modelling, machine learning (including artificial neural networks) and geographic information analysis. You will be part of two dynamic research environments
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generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the sciences and engineering, with translational applications in areas such as drug discovery and materials
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. You should be well-organized and able to structure and prioritize tasks in a dynamic research environment. Further information The position is a fixed-term appointment for 12months, with a desired start
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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-performing, and collaborative PhD student to join our dynamic and international research group at Mid Sweden University, comprising over 30 researchers from around the world, all passionate about innovation
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fosters an open, informal environment, and we actively promote a welcoming and inclusive organizational culture. We offer you A dynamic working environment at a collaborative, internationally connected, and
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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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The Department of Environmental Science (ACES) is one of the largest departments in the Faculty of Science at Stockholm University. The Department is divided into four units with more than 170