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requirements: Solid knowledge of programming and signal processing, based on Matlab or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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greater than or equal to 16 out of 20; Experience in python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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-)fluidics Implementation of microscopy techniques (including confocal) and microrheology Structural and mechanical characterization of the gels Data analysis (using Python or equivalent tools) Literature
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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Exceptional research and analytical writing skills Programming experience in R, Python, Stata, and/or other languages is strongly preferred Prior research experience and coursework in the empirical social
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in other languages such as python, is an advantage. Further information Please apply by uploading a CV and a covering letter. You will also be asked some brief questions to help us understand your
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
modeling, uncertainty quantification, and analysis of ECoG/EEG data (25%); (3) programming and reproducible research skills (MATLAB required; Python is a plus) (25%); and (4) motivation letter (25
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS