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include: A Ph.D. degree in Chemistry or Physics or Biochemistry with experience in protein dynamics studies. Knowledge about concepts in statistical thermodynamics, in python scripting and C++ programming
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and animal-based models R or Python programming expertise is a plus, but not mandatory Excellent oral and written English language skills History of manuscript productivity is needed to be a competitive
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the ability to multitask and meet deadlines Preferred Qualifications Advanced coursework in econometrics Basic skills in Python Experience living or working in India or Sub-Saharan Africa; knowledge
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statistical software (e.g., R/Python/Matlab) Writing sample At least 1 reference who can speak to your research skills Additional Qualifications Topical exposure/interest in development economics Experience
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with programming languages appropriate to the projects (e.g., python, C, and/or c-sharp, as well as sql languages). Expertise with building and maintaining software systems. Familiarity with
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stakeholders to align technical solutions with research goals. Requirements Bachelor's degree or higher (preferably in Computer Science, Data Science, or a related field). Strong programming expertise in Python
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over-expression vectors Experience using programming (R/Python) to analyze large-scale genomic, transcriptomic and/or proteomic datasets is a plus Experience with in vivo pharmacology practices
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written and verbal communication skills. The ideal candidate should have experience with LINUX, STAR-CCM+, ANSYS, Fluent, COMSOL, MATLAB, Simulink, and Python. Experience with parallel computing is a plus
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Analysis of particle physics data sets Expert knowledge of C++ Expert knowledge of Python Effective communication skills, both oral and written. Required Experience In-depth knowledge of specialized field
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statistical genetics Proven experience with applying standard pipelines for the analysis of large-scale genetic data sets Demonstrated proficiency with R or Python Demonstrated ability to effectively