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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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, scientific computing, mathematics, statistics or a related field, or a foreign degree equivalent to a PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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dissolution behaviour Analyse time-resolved experimental data using statistical and machine-learning approaches, and validate predictive models using independent experiments Design and conduct controlled
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A 2-years postdoc position is available in the Soil and Environmental Physics group at the Department of Soil and Environment, Swedish University of Agricultural Sciences (SLU), in Uppsala. We
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics , we conduct research in computational mathematics, optimisation, biomathematics, statistics, and data
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Epidemiology and Biostatistics (MEB) is now looking for a postdoc who wants to understand and prevent liver disease with a focus on alpha-1-antitrypsin deficiency, MASLD and PSC. Our research group consists
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Interested in urban mobility and working in an interdisciplinary team with close connection with stakeholders? We are looking for a postdoc to join our team at the Division of Physical Resuorce
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, this postdoc might be for you. We are looking for a curious and motivated postdoctoral researcher to explore what consequences electrification and hybridization of powertrains in trucks will have on the whole