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opportunity to teach and mentor students who are eager to explore the dynamic world of sports journalism, broadcasting, and digital media. We are looking for an experienced sports media professional with a deep
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. Political Science course is normally taught in the Fall. This faculty member will typically teach Introduction to American Politics and possibly a graduate seminar for participating Collegiate Academy high
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joint projects, research visits and staff exchange covering co-supervision of research fellows, PhDs and students. Relocation and integration support for you and your family to Vilnius. Profiles for 3
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep
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in the fields of synthetic biology, photonics, and quantum technologies. More details about the SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon
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, or related background. Strong background in machine learning, computer vision, and deep learning. Knowledge of transformer architectures and foundation models. Experience with few-shot learning, self
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that shape our future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by
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Statistics → includes enhanced salary compared to standard PhD funding in Switzerland. Website for additional job details https://www.izb.unibe.ch/about_us/open_positions/index_eng.html Work Location(s) Number
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with