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diabetes genetics and genomics. The methodological research may include but is not limited to statistical models using genetic data from family-based studies as well as -omics data for integrative
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in the field with sampling of water and/or soil. Strong written and verbal communication skills in English. Demonstrate good potential for teaching, as 10% of this position is teaching. Meriting
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network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
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science. You will be part of a dynamic research group with expertise in Earth Observation, geoinformatics, and machine learning, offering an excellent environment for advancing your research and building
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stem cells (HSCs) to mature blood cells (references 1-7). This is studied in genetic mouse models, in healthy human subjects as well as in myeloid malignancies. Key technologies applied towards
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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
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wide sense, with activities spanning from communication theory to channel measurements/modeling and implementation of advanced test beds. Your research will be performed mainly in the context of a large
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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experimental development/measurement and theoretical modelling/investigation. Therefore, it requires the candidate to have a solid background in electronics, physics, and mathematics, as well as strong practical
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data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor Juan-Jesús Carrero, each member brings together strengths ranging