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scientific challenge. The planned PhD project will therefore investigate the interaction of food-borne toxicants with realistic co-exposure using New Approach Methods (NAMs). The focus will be
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scientific challenge. To address this challenge, the PhD student shall assess the interaction of food-borne toxicants at realistic co-exposure using New Approach Methods (NAMs). The focus of this work will be
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: PhD position in the Institute of Clinical Neuroimmunology (m/f/x) in Planegg-Martinsried Your tasks and responsibilities: Culture and FACS analysis of human immune cells Apply cellular, molecular and
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Areas of study Greek Studies, Latin Studies, American Studies, English Studies, Book Science, German as a Foreign Language, German Studies, Nordic Philology, Miscellaneous, Nordic Studies, Scandinavian Studies, Cultural Studies, Media Culture, Digital Media, Media Studies, Modern Greek Studies,...
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, their achievements and productivity to the success of the whole institution. At the Faculty of Chemistry and Food Chemistry, the Chair of Inorganic Molecular Chemistry offers a position as Research Associate / PhD
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish, German LocationMünchen Application Deadline15 Jun
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institution. At the Faculty of Chemistry and Food Chemistry, the Chair of Inorganic Molecular Chemistry offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees
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emissions from livestock farming and fertilization, which contribute to the formation of harmful PM2.5 particles. The aim of this PhD project is to investigate the causes and changes in air pollution in
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI