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, including data obtained from camera trapping and large databases containing data on the movement of species tracked by GPS. · Statistical analysis of data in R, which includes programming of algorithms
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of neurodevelopmental epilepsy. Identification of common genetic mutations in specific genes has enabled precision diagnosis and more recently the development of genetic therapies. However, we lack the imaging tools
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for tests, execution of experimental tests, assist in numerical modeling, and development of design equations and guidelines, prepare research reports and journal papers. Organizational Status UBC Smart
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physics to investigate fundamental questions about the emergence of life on Earth and beyond. The Scientific Researcher will lead a project and develop custom-designed tools to study the post-impact
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equality and diversity as a strength and an asset. Your team The HIPPIE beamline is located at the 3 GeV ring. Together with SPECIES beamline, it forms the “APXPS group”, which is focussed on the development
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of Finland project, Early Evolution of Magnetic Sheaths and their Space-Weather Impact on near-Sun Planets (EMSWIP), led by Dr. Ranadeep Sarkar. The preferred start date is February 2026, but later dates
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, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society. Essential functions (job duties): Center for Urban Studies, a research
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team of researchers both at Imperial and in a broader industrial coalition, you will develop a plume-scale contrail simulation and embed it in a global-scale model such as the UK Met Office Unified Model
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project, you will be responsible for a range of critical tasks that will shape the project’s success: Adversarial attack development: you will design and implement problem-space adversarial attacks against
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 6 hours ago
modalities Developing and applying polygenic risk scores and causal inference models to predict disease onset, progression, and treatment response Implementing machine learning and statistical genetics