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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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, evolution, ecology, biology, psychology, economics, computer science) or engineering completed by start date Demonstrated academic excellence and research experience, especially published peer-reviewed papers
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2025 or later. The ideal candidate
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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or acquire further expertise in quantitative intravital microscopy. 2) Computational or Cell biologists (with expertise in quantitative microscopy, statistical modeling, cell culture, and/or biochemistry
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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Science, Statistics or Computational Biology, Computational Chemistry. Must have a strong interest in any of the following: NLP, Knowledge Representation, Clinical Informatics, Bioinformatics, Biomedical Ontology
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep