69 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Duke University in United-States
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. This computational immunobiology postdoctoral position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity
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of physical activity on energy expenditure, energy balance, and health outcomes. These two positions are: Non-Human Primate Activity & Physiology: This postdoc will work as part of a team investigating social
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, United States of America [map ] Subject Areas: Environmental Economics Natural Sciences Forestry Appl Deadline: none (posted 2025/08/28) Position Description: Apply Position Description Dr. Jeffrey R. Vincent, the Clarence
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responsive to lab agendas/goals in a timely manner. This Postdoc appointment allows for many technical, analytical, and professional career development opportunities to collaborate. The candidate will have
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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. · The appointment is not part of a clinical research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under
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Duke University, Department of Chemistry Position ID: Duke-Department of Chemistry-JH_PSD_2025 [#30520] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
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Gastroenterology Research Training Program Postdoctoral Fellowship The Duke Division of Gastroenterology is seeking applicants for a two-year post-doctoral fellowship within the Duke Gastroenterology Research
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Duke University, Statistical Science Position ID: Duke-StatSci-DDPDS [#30056] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying memory consolidation and navigation