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· Effective written and verbal communication skills. · PhD degree in computer science, data science, or related fields, to be completed by the start date of the appointment. · Strong software
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs
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the development of novel therapies for coronary microvascular disease. The research program focuses on clinical translation and the development and validation of existing and novel cardiac imaging-based
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will have a PhD with experience in relevant areas of biology, first-author publication(s), and the ability to work well in a highly interactive, creative, and collaborative environment. Postdoctoral
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disorders. Communicate findings to the scientific community through conference presentations and publications. Preferred Qualifications: PhD in Computational Biology, Bioinformatics, Genetics, or a related
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world