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or relevant topics be result-oriented and have high level of motivation and will to face challenges and conduct systematic research to solve them, if necessary, by learning/adopting new techniques/theories
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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postdoc to join our team at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, and contribute to research on stochastic and statistical models for large-scale shape
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traits. Our group has recently published the largest GWAS meta-analysis of gestational duration and preterm birth to date. As postdoc fel-low you will contribute to ongoing efforts moving genetic
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has never been more relevant. The department has a stimulating and international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching
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, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all of these subject areas. For more information about the department or division visit: Southern Swedish Forest
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. You are expected to learn to develop your own scientific concepts and communicate the results of your research verbally and in writing. Your research activities will contribute to enhanced knowledge in
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undergraduate courses, a Bachelor’s degree, three Master's degrees, and a Ph. D. programme, all within marine sciences. Subject area Marine geology Subject area description The postdoc will join an international
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risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
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ways to transform towards them. Finally, we will synthesize our learning across cases to enhance causal multispecies understanding of biodiversity. The postdoctor will work with the Swedish team but is