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Title: Optimising resistance training across the lifespan: Balancing mechanical stimulus with physiological, biomechanical, and psychological cost PhD Studentship: R-LINCS2 funded. The Studentship is
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, or related methods, is also advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary
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. Bezdicek, S. Smith, A. Tabatabai and A. Wollum). https://doi.org/10.2136/sssabookser5.2.c37Bardgett , R. D., și Van Der Putten, W. H., 2014. Belowground biodiversity and ecosystem functioning. Nature, 515
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register your interest in this studentship ([email protected] ) Submit a short Faraday Institution expression of interest form: www.surveymonkey.com/r/XL23CSF Apply through the University
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be an advantage. Working knowledge of R, SPSS or Stata is expected. Experience working with children, families or people with chronic or rare diseases is also an advantage. The project involves contact
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related field; a solid understanding of molecular genetics, glial and myelin biology and rare neurological diseases; experience with either iPSC culture and differentiation or programming (Python and/or R
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within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26-[ARdS1.1]369 I
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work; Experience with data analysis, such as statistics, data management, etc.; Experience in scripting/programming (e.g., R, Bash, Python); Strong interest in understanding human impacts on ecological
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modeling Demonstrated experience with mathematical modelling, and an ability to learn new concepts and (computational) methods as needed A demonstrated ability to work with programming languages such as R
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and/or R. Experience with Git/GitHub and collaborative software development. Experience working in Linux and high-performance computing environments. Evidence of scholarly productivity through peer