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across the STEM fields. Where to apply Website https://www.academictransfer.com/en/jobs/357454/university-teacher-applied-phys… Requirements Specific Requirements You have a PhD degree in Applied Physics
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 2 months ago
representations of the vascular trees (and hence propose modality agnostic detection/characterization methods). • A full synthetic model of the vasculature will be exploited to train the neural networks (see
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using image processing and physical modeling Expansion of the mechanistic understanding of bubble coalescence with the aid of a microchannel Cooperation and expansion of the evaluation software in
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conducting electrophysiological, histological and behavioural research in transgenic model animals at the Department of Physiology IP PAS. Department Head: Professor Krzysztof Tokarski, PhD KEYWORDS
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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informed and sensible decisions for air pollution control in urban areas. MODELAIR “Groundbreaking tools and models to reduce air pollution in urban areas” is a Marie Sklodowska-Curie Actions project funded
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, as one can note by the recent interest in twin-rotor turbines (https://www.offshorewind.biz/2024/07/15/mingyang-launches-twin-rotor-v-shaped-floating-wind-turbine-platform/ ), and the funding awarded
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questions in large populations. The translational pharmacology group aims to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as
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laboratory, field and modelling studies related to atmospheric chemistry, air quality and climate. This research project is called Partnership for Evidence and Action on Clean Air (PEACE-Air) and is supported
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-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented