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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 27 days ago
. Experience in handling farm animals and communicating with farm owners in German. Experience in scientific work, writing and presentation. Very good written and spoken German (C1 level). Good written and
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experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences
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be met no later than the time the employment decision is made. Applicants should hold a PhD in Electrical Engineering, Computer Science, or a closely related field. Good collaboration skills who can
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. This position is part of a research group consisting of three doctoral students with individual projects where collaboration leads to good group development. You will join a research group that conducts
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. Various teaching activities in your field of expertise may take up to 20% of your time. Where to apply Website https://www.academictransfer.com/en/jobs/363723/phd-position-on-hermetic-packag… Requirements
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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real hardware assurance challenges while maintaining academic independence and open scientific dissemination. Where to apply Website https://www.academictransfer.com/en/jobs/363728/phd-researcher-on-ai
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators