131 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at DAAD in Germany
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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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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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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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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural
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allowance Scholarship holders are also invited to apply for different Summer Schools in Germany (four weeks) Further Information about the Universidad Nacional San Juan http://www.unsj.edu.ar/ Further
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courses or doctoral candidates Selection Selection is made by the National Science and Technology Council - NSTC Further information National Science and Technology Council - NSTC https://www.nstc.gov.tw
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at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
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opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great outdoors and cultural opportunities, a vibrant student scene, and an impressive scientific
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or academia. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a