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- Charles University, Faculty of Pharmacy
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PhD-level and masters-level statisticians, and doctoral students. The group is involved in a wide variety of research projects, including the development of statistical methods, population-based cohort
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and experimental and clinical oncology, is committed to develop novel methodologies combining mechanistic and statistical modeling to be ultimately applied at bedside. The PhD theme and datasets The aim
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, computational modeling, fundamental physics, biophysics, statistical mechanics, molecular modeling, basic cell biology, bioinformatics. Working knowledge of Linux/Unix, C/C++/Fortran, Python is a title of
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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Keywords: Ultrasound and Vibration, Structural Dynamics, Composite Structures, 3D Printed Structures, Damage, Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics
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motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic
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about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic disease, subject to population genetics forces like mutation, selection and
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education credits. Qualifications You should have an MSc degree in microbiology, ecology, bioinformtics, or a subject relevant for the position. Skills in statistical, database management and scripting
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skills in English. Willingness to contribute towards an empirical project. Ability to speak and understand French (highly desired: German and French). Excellent knowledge of research methods and statistics
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, electrochemical techniques, etc.). Knowledge of applying statistical analyses for data qualification. Skills in Swedish, both spoken and written. In an overall assessment of suitability, emphasis is also placed