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year (renewable) Appointment Start Date: June 1, 2026 (flexible start date) Group or Departmental Website: https://butzindozier.com (link is external) How to Submit Application Materials: Please email
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under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Vaci, N., Edelsbrunner, P., Stern, E., Neubauer, A., Bilalić, M., & Grabner, R
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of Economics and Business and KU Leuven. You have an outspoken interest in fundamental scientific research and perceive opportunities for valorization of research findings and applied research. You teach courses
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
(M.Arch.) degree program. The M.Arch. is a professional two-year graduate Architecture degree. Students complete a Pre-Professional Bachelor degree before M.Arch. enrolment. The Instructor will teach a
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
teach a first-year 3-credit seminar in recent sustainable development in developed and developing countries. Graduate seminars are topics-based, and can be developed in the instructor’s research and/or
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, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research fellowships starting in 2026/2027. The PhD candidates will be embedded
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. Qualifications Required Qualifications: An earned PhD and/or MD degree in psychology, neuroscience, pediatrics, or a related field. Extensive experience collecting MRI data on sleeping infants. Preferred
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DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications received after the deadline will not be
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD