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a fully funded contract of up to 3 years. Position description The postdoctoral researcher position involves developing novel spatial and other statistical frameworks, combining biodiversity
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TensorFlow or PyTorch is a strong advantage Experience with VAEs or related frameworks and statistical analysis of high-throughput omics data is an advantage Knowledge of multi-modal data integration, gene
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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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both independently and as part of a team We also appreciate: Good statistical skills Previous experience in RNA and comparative genomics Position details The successful candidate will be employed on a
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doctoral degree in demography, public health/epidemiology, statistical sociology, statistics, population genetics or other relevant field, have strong quantitative methods skills and an excellent command
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18 Feb 2025 Job Information Organisation/Company University of Turku Research Field Computer science » Programming Computer science » Other Mathematics » Statistics Researcher Profile Recognised
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TensorFlow or PyTorch is a requirement for this position. Experience with VAEs or related frameworks, statistical analysis of high-throughput omics data, comparative genomics, functional genomics, or related
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creative Data Scientist with a very solid foundation in mathematical sciences and statistics to develop longitudinal methods for causal inference in life-course epidemiology. As a postdoctoral researcher you