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environment. We are seeking a candidate holding a PhD or a postdoctoral degree, who is experienced and competent in contemporary sociological theories and specialises in research on culture and discourse
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) Positions PhD Positions Application Deadline 24 Mar 2026 - 15:30 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Part-time Hours Per Week 48 Offer Starting Date 1 May 2026 Is the job
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dataset. The project also analyses the extent to which children may have supported their ageing parents in order to smooth variations in living standards over the life cycle. Requirements A completed PhD in
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer
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”. They are expected to provide informal mentorship to PhD students in the group and will be given the opportunity to do some light teaching work. How to apply. Applications are to be submitted through the online
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Computer Science or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR a PhD in the same fields with two (2) years of experience. You have the
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be commensurate with experience and education. Qualifications Minimum Qualifications: PhD or MD degree with a track record of Bioinformatic Research Must be eligible to work in the US Preferred
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have already successfully obtained a university degree and a PhD, or are about to complete your PhD, in social sciences, economics or economic geography, and have robust knowledge of quantitative
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. Qualifications Applicants should: (a) have a PhD degree in Ecology, Meteorology and Climatology, Sustainability, Natural Resources, Agricultural or Forestry Engineering, Geography, Geoscience, Environmental
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training