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Field
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Upper Second Class honours degree (or equivalent) in engineering, software development, or another quantitative-focused discipline. Ideal candidates will be analytical, self-motivated, and interested in
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analysis software and methods and willingness to learn new data analysis techniques and brain imaging methods are assets. This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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for scientific work strong programming skills and experience in software projects excellent written and spoken English skills TUD strives to employ more women in academia and research. We therefore expressly
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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language (written and spoken) is considered an advantage. Please refer to documentation requirements. Experience with epidemiology and statistical analysis, including the use of statistical software such as
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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will then embark on coming up with a suitable design for a generic economic model and construct the model using their software of choice. This new generic model can then be demonstrated by using data
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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communication skills an early career researcher with publication record, presentation skills and commitment to research integrity equipped with excellent software skills and hands-on experience with deep learning