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software such as SPSS, R, etc.; proficiency in spatial analysis tools such as ArcGIS/QGIS or willingness to learn; a demonstrated ability and willingness to spend a good amount of time in the case study
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programming (e.g., R) and experimental work Proficient communication skills in spoken and written English We are committed to building an inclusive and diverse team, welcoming applications from individuals
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specifically in your application, as they can be of value in the selection process: Knowledge of Python / R programming and/or other evidence of data science skills. Evidence of prior research work, exemplified
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quantitative skills (analyses of long-term data, modelling and statistical analyses, particularly quantitative genetics, ideally in the R environment). Is proficient in English and meets the university’s
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, P&R, timing closure). Knowledge of low-power digital design techniques (e.g., clock/power gating, DVFS). A strong curiosity about the challenges of analog/mixed-signal circuits (ADCs and PAs) and a
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analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage. Your Team You will join the Brain Stimulation & Cognition Lab at the Faculty of Psychology
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to learn) as you will interact with patients. You have experience with programming and data analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage
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software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology, hemodynamic monitoring, and imaging (ECG, CT, echocardiography). Affinity with critical care and working with vulnerable
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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statistical analyses in R. You possess excellent written and oral communication skills in English. You have previous experience with participating in research projects (e.g. data collection, statistical