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The Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München (LMU) and the Federal Statistical Office (Statistisches Bundesamt, Destatis) invite applications for a
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tasks. Job Description Primary Duties & Responsibilities: Lead theoretical and mathematical modeling of ultrasonic thin-film and pintle atomization, interfacial instabilities, acoustic streaming, and wave
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modelling for planning structural heart interventions. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167557384 Requirements Research FieldEngineering » Biomedical
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of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München, using the following link https://www.efv.verwaltung.uni-muenchen.de/md3 no later than 7st October 2026, and also sent in
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or AI – for example, stochastic optimization and sampling algorithms, high dimensional probability, diffusion models, statistical learning theory or teaching courses on the mathematical foundations of ML
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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Location(s) Number of offers available1Company/InstituteDepartment of Mathematical Sciences CountryNorwayCityTrondheimPostal Code7491StreetHøgskoleringen 1Geofield Contact City Trondheim Website http
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standards of quality and impact. Responsibilities Teach the equivalent of 4 courses per semester in the Data Science and Mathematics Engineering program, under the Tec21 Educational Model, delivering rigorous
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, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and predictive modelling Experience working with multimodal
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researcher ANR MATURE Postdoctoral position as part of the ANR MATURE project, focusing on the mathematical modeling of aging in natural populations.Laboratory: Laboratoire Analyse, Géométrie et Applications