1,759 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "FCT NOVA UNIDEMI" PhD positions
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of offers available1Company/InstituteKoc University CountryTürkiyeCityistanbulPostal Code34450Geofield Contact City Istanbul Website https://www.ku.edu.tr/en/home Street Sariyer Postal Code 34450 E-Mail
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process Access to sports facilities on campus For more information about the PhD program and the advertised PhD projects visit: https://fgu.cas.cz/en/students-and-career/ph-d-studies/ How to apply? PhD
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AmsterdamCountryNetherlandsCityAmsterdamPostal Code1081HVStreetDe Boelelaan 1105 Contact City Amsterdam Website http://www.vu.nl/ Street De Boelelaan 1105 Postal Code 1081 HV STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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collective agreement can be found on the BMI website (pay scale table on page 69 and following of the PDF download): https://go.fzj.de/bmi.tvoed In addition to exciting tasks and a collegial working
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 3 days ago
on research fields, such as Neurosensory Science and Systems (University of Oldenburg) https://uol.de/en/phd-neurosensory-science-2 Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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interdisciplinary environment at the interface of computational chemistry, biophysics, and pharmacology. Further information on the group’s research activities and publications is available at: https
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Zaale Contact City Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship