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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 5 days ago
to develop your innovation and entrepreneurship skills at the cutting-edge of AI/ML and biomedical research? If yes, apply now of our 15-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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qualifications PhD in Microbiology, Computational Biology, Genomics, Systems Biology, Statistics, Machine Learning or related discipline Publication record in Microbiology, Metagenomics, Metabolic/Statistical
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reporting of research data, following study specific guidelines. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a PhD in related field. Work Experience
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qualification (PhD dissertation focusing on “contentious politics/political violence/autocratic politics”) Requirements: - completed scientific university education in social sciences, economics, political
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group supported by externally funded research projects, Supervise PhD students and postdoctoral researchers, Contribute to the broader scientific and educational mission of Leiden Observatory and the
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issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
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and statistics in a higher education institution in Romania Specific Requirements advanced knowledge of econometrics and programming in Gauss and/or Matlab and/or Python and/or R is an advantage
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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters