84 computer-science-programming-languages-"Aarhus-University" research jobs at Duke University
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with
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related to the economics of afforestation in low- and middle-income countries (LMICs). The planned research includes three components: (i) a systematic review on survival rates in tree-planting programs
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. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under
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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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Health Program Program Type: Postdoctoral Location: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Biology Mechanical Engineering Public Health Biomedical Engineering
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chemistry, geoscience, and/or green chemistry research is desired. The candidate should have the ability to and be excited to work in a diverse lab group setting, plan and conduct assessments independently
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Duke University, Computer Science Position ID: Duke -CS -PDA_TAN2025 [#30303] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control