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related fields). Holding a PhD degree, obtained upon completion of doctoral studies. Programming skills (Matlab, Python, etc.). Ability to work with large datasets. Knowledge of basic statistics. Ability
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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic
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) Investigate the role of key transcription factors in regulating hematopoiesis in conditional knockout and knockin mouse models. Candidates should have obtained a PhD or an MD/PhD degree and research training in
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hold a relevant PhD/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Computer Science, or a closely related subject (preference will be given to those
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Biomedical Sciences or a closely related field. Strong competence in
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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to analyze complex image and real-world datasets and identify clinically and psychologically relevant patterns Lead independent scientific research projects covering study design, data processing, statistical
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(supervisor, Andrew Barr) The postdoc will conduct multi-disciplinary analyses of many types of data, archeological, anatomical, and geological data. The position requires a PhD in anthropology, biology
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proposals to senior researchers and collaborate in the preparation of scientific reports and journal articles and occasionally present papers, lectures and posters. You should have a relevant PhD/DPhil in
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assist, mentor, and/or supervise student researchers and/or graduate students who are working on research related to the project. Qualifications PhD in statistics, economics or related field. A well