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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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an asset. Applicants must hold a PhD or equivalent, preferably in International Relations or Political Science. They must have experience with research, teaching and service commensurate with a tenured
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Competition, and Small States and International Security. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in
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); including intellectual objectives and planned methodological and disciplinary work One scholarly writing sample (e.g., PhD dissertation chapter or single-authored peer-reviewed academic journal article; fifty
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. Job Requirements: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields. Strong background and knowledge in at least one or preferably more of the following fields
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Bring: Preferred: PhD/DBA Risk Management or Finance or Doctorate in another business discipline with Finance or Risk Management emphasis. Minimum: Masters in Business Administration or Masters in Risk
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experience in academic medicine. Doctorate or Terminal degree is required. Minimum qualifications include an MD, PhD, MD/PhD or equivalent, and eligible for tenure based on academic credentials. IUSM is
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as well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking a highly motivated and experienced researcher, holding a PhD in cell
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100%, Zurich, fixed-term The Environmental Policy Lab at ETH Zurich is inviting applications for two fully funded PhD positions focused on biodiversity policy and strategic spatial planning
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. The selected candidate will have extensive familiarity with archive data management principles and practices, and ideally so within the context of humanities research at Duke University. A recent PhD graduate in