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Field
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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Primary Supervisor - Prof David S Richardson Scientific Background Genetic variation within populations is essential to their ability to adapt and survive, but most mutations that change function
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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are seeking a highly motivated PhD student to join a collaborative project focused on developing genetic risk scores as biomarkers for neurological disorders. The Rademakers lab leads cutting-edge research
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developing genetic risk scores as biomarkers for neurological disorders. The Rademakers lab leads cutting-edge research into risk genes and molecular mechanisms in Frontotemporal Dementia (FTD), while
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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PhD Position in Probabilistic and Differential Algorithms Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline
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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework