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of neuroimaging data, such as Quantitative susceptibility mapping (QSM), Magnetic Resonance Spectroscopy (MRS), or (resting state) network analysis. Data analysis and programming skills (Python, Matlab, R) and a
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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific
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psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific research good organizational and communication skills to professionally interact with patients and
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, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental properties such as forest biomass. However, sampling and measuring at new
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and vulnerability as inputs to impact-based
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(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 climate questions. Ability
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from different countries and disciplines, and we welcome candidates that contribute to and enjoy this diversity. Job Requirement You must be able to demonstrate: Masters degree in science, engineering or
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persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so you disentangle possible (not mutually exclusive) mechanisms
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advance scholarship on who is most often exposed to algorithmic persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so