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Field
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forward, and strengthen their academic profile. Your primary responsibilities will involve data analysis of existing health records, risk factors, and genetic data, as well as preparing research manuscripts
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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develop frameworks and principles for increased joint cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
practice, with a particular emphasis on enhancing access to CIH in at-risk and underrepresented populations. Research trainees will have the opportunity to: 1) receive rigorous training that emphasizes
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intrusion - v1 Data-driven analysis of coastal salinization risks. D2 Assessment of coastal soil salinization from saltwater intrusion - v2 Updated evaluation of coastal salinity dynamics, integrating new
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis Mission
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microscopy (CQ1, Yokogawa) Data analysis Your qualifications Excellent and highly motivated applicant with a strong background in the structural and functional characterization of membrane transport proteins
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, or a related discipline, or be near to completion of your PhD. You will have experience in experimental laboratory research, including data generation and analysis, with strong organisational and record
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Manufacturing Energy Efficiency Research & Analysis (MEERA) Group in
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for increased joint cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk mitigation (e.g. preparedness stock piling