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within the following areas: Molecular research focusing on non-coding RNAs and EVs. It will be beneficial it you possess bioinformatics/computational skills and strong scientific writing skills. As a
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variety of backgrounds (including from undergraduate and graduate programs, industry jobs, and other research assistant positions), and have a range of skill levels and experience with coding. Fellowships
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particularly welcome strong candidates from physics, engineering, computational science, or other areas of chemistry, with high motivation and strong theoretical/analytical/coding ability. Your opportunity We
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resources engineering, civil engineering, or equivalent. Specific knowledge of urban water system including the pipe network, Python coding and modelling and life cycle assessments, as well as economics
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and medical imaging principles. No specific medical knowledge is required. Bonus: experience coding in Python or equivalent programming language. Downloading a copy of our Job Description Full
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tools, e.g., Comsol, GeoStudio, Abaqus, or Ansys; (ii) working with sensors and with sensor-acquired data; and (iii) proficiency in math software, e.g., Matlab and Maple, and coding in open programming
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network failures). You have excellent coding skills and hands-on experience with programming languages like Python and C++, as well as familiarity with wireless network simulation tools (e.g., ns-3) or
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; Knowledge on handling large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into
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experience with Unix command-line interface (CLI) and Bash coding as well as skills in another programming language such as Python or R for analysis and visualization of single-cell RNA sequencing is a
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Medicine Solid background in biomechanics, including hands-on testing experience Good foundation of exercise pyhsiology R and /or Phyton coding skills, solid foundation in statistics Proactive and