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disease. Key responsibilities include: (1) Conduct computational methods development and analysis for systems-level understanding of host-immune responses to diseases. (2) Collaborate effectively with a
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on The PRIDE Study (pridestudy.org (link is external) ) or biological mechanisms of stress including epigenetics. Research opportunities will include collaboration on projects, data analysis, interpretation, and
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conservation, polycentric governance, and environmental philanthropy. Lead in-depth case studies of community-led conservation, with extensive fieldwork in Mexico, including data collection and analysis
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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culture and differentiation of human pluripotent stem cells (ESCs or iPSCs). · Strong experimental skills in molecular and cellular biology, including techniques such as RNA/protein expression analysis
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or iPSCs). · Strong experimental skills in molecular and cellular biology, including techniques such as RNA/protein expression analysis, CRISPR/Cas9 gene editing, immunofluorescence, flow cytometry, and
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analysis of quantum materials. The position offers opportunities for close collaboration with theorists and experimentalists. The position emphasizes independent experimental leadership while providing
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background in the economics of healthcare, public economics, or other fields of applied microeconomics. We are looking for strong background in data analysis, econometrics, and quasi-experimental methods
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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should