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of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult
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possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with
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satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics, Computer Science, or related disciplines. They should have an excellent command of written and
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) (to commence as soon as possible for 12 months, with the possibility of renewal subject to satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics
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software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 days ago
postdoctoral researchers, students, and visitors. The research The postdoctoral researchers will engage in theoretical and computational research in Nonequilibrium Statistical Physics and Active Matter. For more
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Computer Science Appl Deadline: none (posted 2025/08
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to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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, and in leading complex projects in data systems and processes, and have experience with informatics and statistical aspects of data management. It is essential you are an experienced user of data