162 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at DAAD
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to enable former scholarship holders of the “Development-Related Postgraduate Courses (EPOS)” to carry
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Paris Office Allemand d'Echanges Universitaires Maison de la Recherche – Université Paris-Sorbonne 28, rue Serpente 75006 Paris Tel.: (+33 1)/53 10 58 73 E-Mail: eudine@daad.de WWW: https://www.daad
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and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation letter Application Application https://www.cens.lmu.de/en/support
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academic environment. Required Documents Required Documents CV Certificates Transcripts Language certificate Motivation letter References Application Application https://www.frankfurt-school.de/en/home/study
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methods for photocatalytic membrane development. The project will focus on i) photocatalyst selection, looking beyond the most commonly used materials, ii) exploring options of catalyst deposition and
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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(see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) knowledge in EcoDesign, climate sciences and life-cycle assessments project management knowledge of the host
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allowance Selection Selection is made by the National Science and Technology Council - NSTC in Taiwan. More detailed information https://www.nstc.gov.tw/folksonomy/list/ad854ec5-b3d9-4e50-a521-7919449925f2?l