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-energy devices. Using state-of-the-art electronic-structure calculations and machine learning methods, you will model these effects and contribute to the design of improved semiconductors for solar cells
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, obtained by avoiding crystallization during solidification. However, conventional manufacturing methods limit part size and geometry, restricting their industrial use. Laser-based additive manufacturing (AM
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stakeholders related to water infrastructure. About the research project In this PhD project, you will analyse the removal of organic micropollutants (OMPs) from wastewater using granular activated carbon (GAC
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Do you want to be involved in world-class research on next-generation battery concepts and play a central role in advancing our experimental methods and laboratory capabilities? Join us as a
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We are looking for a highly motivated candidate who wants to be at the forefront of research and develop materials and methods for a sustainable future based on renewable materials. This postdoc
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We are offering a PhD position in the field of graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years. You will be part
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involve established software tools, such as: CHEMKIN-PRO for steady one-dimensional simulations of laminar flames with detailed chemistry. CONVERGE for unsteady three-dimensional simulations of turbulent
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datasets, particularly registry-based or longitudinal data. Familiarity with explainable AI and interpretable machine learning methods. What you will do Conduct independent and collaborative research in
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The postdoc will join a world-leading research environment at the Chalmers Security & Privacy Lab as a member of the CryptoTeam . The Crypto Team currently has two faculty members and four PhD students
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, computational, and theoretical methods are developed and used to meet a multitude of research challenges. As a Doctoral student, you will be associated with one of our graduate schools . The Department of Physics