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, computational modelling, digital ethnography and design research. It is a highly interdisciplinary program, including communication and cognitive science with AI and (computational) linguistics, human-computer
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The thesis will be carried out within the “Meiosis and Recombination” team
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Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme:study.ed.ac.uk/programmes/postgraduate-research/491-informatics-ilcc-language-processing-speech
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in Mechanical or Electrical Engineering, Computer Science, or a related field. Fluency in at least one common computer programming language is required. English fluency is expected. The candidate must
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Degree PhD, Dr Course location München In cooperation with TU Munich Teaching language English Languages Participants can fulfil requirements in English only, but some German courses are available
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south of Oslo. via Unsplash Main responsibilities Development and testing of digital solutions for small forest owners. These solutions include Computer vision models and a digital assistant based on a
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building UHV systems. Experience in simulating in COMSOL or similar programs. A strong grasp of written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc
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Degree Doctoral degree (Dr rer nat) Course location Konstanz Teaching language English Languages All our courses are held in English. Programme duration 6 semesters Beginning Winter and summer
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 2 hours ago
. German "Diplom") in physics, chemistry, mathematics, or computer science. Language requirements Proof of proficiency in English (TOEFL, IELTS, long-term studies in countries with English as the official
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program characteristics. You will conduct a series of studies: a literature review on the factors causing language-related degree-awarding gaps; constructing and analyzing a large set of student data (in