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, complex quantitative datasets, Experience of quantitative research related to child development, Longitudinal data analysis Additional Information Eligibility criteria Mandatory: *PhD in psychology
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://life.univ-cotedazur.fr/les-actions-de-leur-life/les-bourses-de-leur-life/bourse-de-these-dynabio PhD candidates are expected to contact their potential future supervisors and prepare a joint application to be
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application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction, volumetric analysis
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 21 hours ago
, developing and administering appropriate assessments, evaluating student learning outcomes, preparing and grading assignments, and assigning final course grades. The position also includes participation in
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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of Technology, is now looking for a PhD student to contribute to our growing activities. The RAI team is conducting fundamental research in all the aspects of robotics with a specific focus on aerial, space and
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/behavioral-health/ ) is a joint effort of IUSM Departments of Pediatrics (https://pediatrics.iu.edu ) and Psychiatry (https://psychiatry.medicine.iu.edu ). Core faculty include Matthew Aalsma, PhD; Zachary
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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evolution of life from ancient Palaeozoic times to the current Anthropocene. The group currently includes a motivated cohort of PhD students, MSc students and postdocs working on various aspects of (micro
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is therefore of both theoretical and practical importance. Your work tasks This PhD project aims to develop structure-aware inference methods for modeling quantum transducers as open quantum systems