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Field
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data analysis pipelines using ImageJ, R, MATLAB and relevant programming languages. Plan, troubleshoot and optimise experiments, maintain meticulous records, and prepare data, manuscripts and grant
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activities in the scientific area of Psychology, within the scope of the R&D project “Factors in the response to intervention in different types of reading disabilities”, ref. COMPETE2030-FEDER-00736600
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activities in the scientific area of Psychology, within the scope of the R&D project “Promoting Mental Health through Interpersonal Synchrony enhancement in Depression”, ref. COMPETE2030-FEDER-00769800
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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analytical and problem-solving skills. Strong attention to detail and organizational skills. High proficiency in R data analysis software. Experience with survey data, scoring instruments, creating surveys in
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publication in a peer-reviewed journal or conference proceeding Proficiency in programming languages such as Python, R, and/or SAS Experience working with EHR, administrative claims and/or omics data is highly
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other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies Outstanding verbal and written skills. Organizational skills and attention to detail
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the output of the experiments during the research; Assist his/her supervisors with tasks in ongoing and future R&D projects; Collaborate with the research team @ GUGC; Have the willingness to work flexible
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. [4] D. A. Crowl and Y.-D. Jo, «The hazards and risks of hydrogen,» Journal of Loss Prevention in the Process Industries, vol. 20, p. 158–164, March 2007 doi . [5] E. J. Adler and J. R. R. A
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research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models