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Field
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addressed to Dr. Norbert Hajos, [email protected] . Additional Qualifications Knowledge of using Clampex, Matlab, Origin, DeepLabCut or similar software is an advantage. Salary and Rank Special Instructions
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 14 hours ago
: • Experience in designing experiments on cooperation and communication involving wolves and dogs • Statistical and programming skills, such as R, MATLAB, Python and Bonsai • Independent, precise and solution
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experiments • Analyze imaging and behavioral datasets using MATLAB or Python • Contribute to manuscript preparation and grant development Required Qualifications • Ph.D. in Neuroscience or related field
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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microscopy, or scientific programming for data acquisition, instrument control, and image analysis using LabVIEW, MATLAB, or related platforms. Candidates must have at least one first-author research article
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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, R, MATLAB) for data processing and analysis. - Experience in statistical processing of spatial and temporal data. 4) Instrumentation and metrology: - Knowledge of sensors and measurement instruments