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opportunity to develop cutting-edge AI-enhanced algorithms for analyzing transposable elements (TEs) in cancer epigenomics, with direct translational applications to precision oncology and immunotherapy
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centrioles at the cell surface. They play key roles in cell signalling, which are essential for the development and function of most tissues and organs in our body, including our sensory system. Mutations
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leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
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) on the development of advanced Pediatric MR research with a primary focus on the brain and/or heart (e.g., MR spectroscopic imaging, MR elastography, susceptibility mapping and/or dynamic imaging). The candidate will
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develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias detection tools, building fairness-aware algorithms, and contributing to practical guidelines
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Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project The project aims to develop hybrid quantum–classical approaches
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science
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language and compiler ecosystems to accelerate scientific software development at scale. Major Duties/Responsibilities: Agentic AI for High‑Productivity Languages: Develop multi‑agent reasoning systems