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leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
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collaboration with researchers from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). All tree species reach upper elevational and latitudinal distribution limits that are primarily
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
Your position The shoebill is an iconic bird species endemic to central eastern Africa, with the southernmost breeding population remaining in Zambia. Despite its large distribution area, the bird
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skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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The Biopharmacy group at the Department of Pharmaceutical Sciences investigates mechanisms underlying drug absorption, distribution, metabolism, and excretion. A central focus of our research is the
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the distributions and stable isotopic composition of plant waxes and the relative abundance of bacterial membrane lipids (brGDGTs). The PhD students will integrate their results with complementary climate proxies and
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the distributions and stable isotopic composition of plant waxes and the relative abundance of bacterial membrane lipids (brGDGTs). The PhD students will integrate their results with complementary climate proxies and
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-solving, and collaborative mindset Highly desirable Experience with distributed training or ML systems Knowledge of privacy-enhancing technologies and parallel programming Experience with multilingual AI