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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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into consideration. The applicant must have, or be about to receive, a doctoral degree in a subject relevant to the research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or
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beyond traditional models and bring research closer to real-world clinical applications. About the research project We are offering a 2 year postdoctoral position to an ambitious researcher who is
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longitudinal population data at the individual level, national register data, statistical modeling, and management of complex individual-level databases is required as well as advanced skills in R-programming
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13 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer systems Computer science » Other Researcher Profile Recognised
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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markets and business models can be created, social impacts and how policy and regulations can be established for developing an effective adoption of bio-CO₂ utilization. The PhD student will work with the
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motivated individual to pursue a PhD in the area of reliable conversational domain-specific data exploration and analysis. The prospect PhD student will join a research team in KTH led by Professor Aristides
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings