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Field
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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health disparities both in the U.S. and/or in Latin America; and secondary data analysis of cardiovascular health among military populations in the U.S. Current topics and populations of focus include
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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track. Ideal candidates are late-stage Assistant Professors or Associate Professors who have demonstrated early success in establishing independent research programs, including securing independent grant
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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and entire gene circuit Genomic data analysis and system identification techniques Experience with project management at EU level Experience with development of educational courses. Duties The duties
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analysis. Candidates are also expected to bring their own knowledge and approaches to design and execution of the project. The candidate will work in a dynamic team of scientists and collaborate with group
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) opportunities for publication; (2) the chance to develop knowledge and skills in neuroimaging analysis; and (3) experience of working with digital mental health and smartphone-based assessment tools. There will
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the EEG Data collection, processing, and analysis for this project. Job Responsibilities The postdoctoral scholar will be an expert in psychophysiological methods, developmental science, and/or clinical