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, professional development, and supervision within reproductive and female-related epidemiology. The postdoc(s) will be affiliated with the FEMME project (FErtility and Medically assisted reproduction: Mapping
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computational work to: Map dose-dependent IL-6 responses in the maternal-placental-fetal axis using transcriptomics, lipidomics, and metabolomics Determine thresholds where placental immune inhibition fails and
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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wide range of health-related topics and methodologies. The position and the project The focus of the position is on developing models that map how everyday psychological distress symptoms interact
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here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
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at DTU here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user
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recharge mapping to help shape the future of sustainable water management. We’re looking for a motivated postdoc for a 1-year position (with a possible extension for 1 more year) to lead cutting-edge
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single-cell multi-omics, wearable-derived measures, machine learning, and network biology, you will map how genes, proteins, and other molecular readouts interact to shape cellular states, signaling
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reproduction: Mapping women’s short- and long-term health Effects). The FEMME project consists of three work packages related to fertility treatment: Cardiovascular disease, cancer and mental health. Research
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organising from three perspectives (culture, infrastructure, policy) and compares three industrial sectors (gamers, VTubers, adult content creators). In so doing, the project will map the industrial conditions