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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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-natural-language-processing Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in-na… Requirements Research FieldComputer scienceEducation LevelMaster Degree
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summer schools. Communication and teaching language throughout HBRS is English. Upon graduation, students receive a PhD – life and natural scientists may alternatively choose a Dr.rer.nat. degree. Our
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information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include
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present your work at international conferences About you A PhD* or equivalent qualification/experience in Computer Science, NLP, AI, or a related field. Strong experience in natural language processing
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 9 days ago
molecules involved in these processes. We utilise our findings to develop new diagnostic methods and anti-infectives based on natural products. The ILRS PhD projects try to answer these intriguing questions
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are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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Degree Dr rer nat (life and natural scientists only) or PhD Course location Hannover Teaching language English Languages Course and working language is English. The PhD thesis is written in English
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11 37077 Göttingen Germany Web: https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during