661 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" uni jobs in Germany
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at the Goethe University Frankfurt. MBN Research Center ( https
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at Goethe University Frankfurt. MBN Research Center ( https
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ScienceCountryGermanyCityRostockPostal Code18059StreetAlbert-Einstein-Straße 22Geofield Contact City Rostock Website https://www.uni-rostock.de/en/ Postal Code 18051 E-Mail alke.martens@uni-rostock.de STATUS: EXPIRED X (formerly Twitter
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programme Biochemistry & Molecular Biology, and other relevant programmes at the University of Bayreuth. The ability to teach in English and German is expected. The general administrative requirements
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 12 days ago
is available at https://population-europe.eu/ . The Secretariat is hosted by the Max Planck Institute for Demographic Research and situated in the centre of Berlin (see below). A prerequisite for the
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found in our guidelines for review under the following link: https://uni-tuebingen.de/en/12271 The successful candidate will be working in a highly collegial and family friendly work environment. The