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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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the quantitative analysis of survey data Expertise in R or another similar statistical programming language Expertise in the management of complex survey data sets and associated metadata Excellent written and
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, population analysis. You possess excellent skills in your area of specialization. You have proven experience of working with microdata. You excel in using statistical software, such as Stata, R or Python. You
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to taking up the appointment. The research requires experience in electronic structure theory. Experience in R-matrix theory, quantum molecular dynamics, and the calculation of observables, as well as coding
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of working with quantitative data and relevant software (Stata, R, Python, or similar). This is a full-time, fixed-term post for 12 months, that must end no later than February 2027. The Department of Social
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of working with quantitative data and relevant software (Stata, R, Python, or similar). This is a full-time, fixed-term post for 12 months, that must end no later than February 2027. The Department of Social
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, Chief Scientist of FISC (https://forestinvasion.cz/en/r-20696-team ). Position Qualifications: PhD completed at least 4 years ago and, substantial research experience including supervision of students
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statistical programming using R and/or Python, with experience in data management, analysis, and visualisation. You must have demonstrated experience working with large-scale biological datasets, preferably
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the AM fungus, R. irregularis. The project focuses on obtaining a mechanistic understanding of EV biogenesis, cargo loading and signals that regulate EV release during the interaction. The post-doc will
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experience in handling and analysing large-scale datasets (neuroimaging, genomics, or both). Proficiency in programming and computational analysis (e.g., Python, R). Expertise in neuroimaging (MRI, MEG, EEG