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basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets
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. We welcome applications at both postdoc and doctoral levels. The projects run for 4 years, and the starting date for the positions is flexible. The duration of the doctoral positions is 4 years, but
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changes and challenges. Bioeconomic models are used to study cost-effective adaptation measures under climate change and market-related risks with a particular focus on irrigation, climate-related external
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focus on advancing chromatographic separation of biobased molecules through modelling, simulation, experimental chromatography, or a combination of these approaches, depending on your background. You may
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supervising doctoral students. Join us in shaping the future! Your role and goals Your primary task as a postdoc is to conduct research into quantum algorithms and information. You are expected to take an
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circuitries in healthy and diseased brain. The topic is investigated at different levels, from molecular mechanisms to behaviour, using animal models and various electrophysiological techniques in combination
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to brain disorders, uncovering mechanistic pathways, and identifying therapeutic targets and disease predicting biomarkers. We develop and apply human-based disease models to advance understanding of brain
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. Applying quantitative and modeling approaches (e.g., paleoclimate, landscape, or ecological niche modeling) to interpret ecosystem dynamics. Contributing to grant proposal preparation and co-authoring
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from