1,581 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"Kyoto-university" PhD positions
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Faculty Professor Research Assistant - Full-Time Med-Psychiatry - Pennsylvania-Pittsburgh - (25005706) Research Assistant Professor of Psychiatry University of Pittsburgh, Department of Psychiatry
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Research Assistant Professor (Appointment Stream) Bioengineering - Pennsylvania-Pittsburgh - (26001302) The Department of Bioengineering at the University of Pittsburgh Swanson School of Engineering
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Research Assistant Professor faculty position in the 7 Tesla Bioengineering Research Program (7TBRP). Applicants should have more than four years of postdoctoral experience or equivalent experience carrying
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PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
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to Applicants: For full consideration, applicants must apply for the Research Assistant Professor at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references
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teaching assistant professor nr WSoc-1210-3/2026"; the application should consist of following documents:Cover letter addressed to the Chair of the Selection Committee, dr hab. Sławomir Mandes, professor
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Sciences at The University of Texas at El Paso (UTEP) invites applications for a non-tenure-track faculty position as a Research Assistant Professor in the areas of Behavioral Genetics, starting in Spring
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Posting Details Position Information Job Title Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor Position Number 937330 Vacancy Open to All
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with