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of Religion at the Department for the Study of Religions in the position of a postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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(applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 24 hours ago
Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl
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SPHERE You have a PhD degree in Artificial Intelligence, Computer Science, Applied Mathematics or in a related field You have at least 3 years of postdoctoral research experience or R&D experience in
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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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quantitative data analysis, mathematical modeling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research in some subdivisions
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Description The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and