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to recruit a research assistant to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from
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postdoc to join our team at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, and contribute to research on stochastic and statistical models for large-scale shape
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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an innovative estimation of the natural nutrient loads delivered to the Lombardy lakes from their watersheds, through eco-hydrological modeling with SWAT+. In the models, anthropised areas will be converted back
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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
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contribute to an applied research project related to AI-assisted speech therapy in collaboration with hospital partners. Key Responsibilities: Model Development: Design, train, and fine-tune ASR and TTS models
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) on mathematical modelling of immunotherapies of hematologic malignancies is available at the Institute of Mathematics and Informatics in Sofia, Bulgaria under the supervision of Dr. Peter Rashkov, Dept
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-microenvironment-models-and-their-use-to… Where to apply Website https://www.ceitec.eu/lymphoid-microenvironment-models-and-their-use-to-study-t… Requirements Additional Information Work Location(s) Number of offers
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fisheries modelling, data analysis, and stock assessment to generate robust evidence that informs management decisions. Working within the IMAS Fisheries and Aquaculture Modelling Program, the position
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to the University of Gdańsk Remuneration Regulations. COMPETITION DEADLINE: February 23, 2026. Keywords: econometric modeling, statistical tools, computational programming (R, Python), BI methods. REQUIREMENTS