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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 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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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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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
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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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time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran
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using tools such as Python or R Applying for internal or national research funding Engaging with industry partners and academic collaborators This is a 24-month fixed term role working 37.5 hours per week
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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Python for stimulus presentation and data analysis Conduct statistical analysis using software such as SPSS, R or Python to support data interpretation and research findings Collaborate with and provide
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or experience with data analysis methods (e.g. use of Stata, R, Python, or Stata) Ability to communicate complex information clearly Excellent ability to work as a team and independently including co-ordinating
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python