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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and
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). The initial position will be for one year, with the possibility of renewal based on job performance and availability of support. Applicants must possess a PhD in Mathematics, Computer Science, Physics
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candidate will be expected to work onsite as of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a
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application) Candidates can either have their PhD or MD (or foreign equivalent) at the time of the application or they could be working towards the PhD or MD. Candidates must hold a doctoral degree or
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description Applications for the Postdoctoral Scholars are being sought from doctoral (PhD, MD, or foreign equivalent) candidates with strong laboratory research backgrounds & specialized training
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://recruit.ap.uci.edu/JPF10162 Basic Qualifications (required at time of application): Recent or anticipated PhD or equivalent degree (within the last 3 years). Expertise in Neuroscience, Epidemiology, Computer Science
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Listen Published Tuesday 14 Jul 2026 Deadline Thursday 13 Aug 2026 Work area Academic staff Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 4.925 - € 6.682
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. The successful candidate will work as part of a team investigating the intersections of early life adversity, social behavior, health, and aging in wild chimpanzees. The position requires self-direction and the
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imagery, and conduct APSIM simulations to address research questions related to crop physiology, plant breeding, nitrogen management, water quality, crop rotations, and predictive agriculture. The position
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for stochastic, distributionally robust, and mixed-integer nonlinear optimization problems. The successful candidate will conduct research at the intersection of stochastic programming, optimization under decision