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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 15 days ago
strategies, and will work closely with the Chair to develop a strategy for impactful programming. Key Responsibilities Identify priority areas of Canadian democracy at risk, or other areas at the intersection
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). You have experience in software development with solid knowledge of one or more programming languages relevant to the project (Python/PyTorch, C/C++, …). Knowledge of (efficient) numerical
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information about the department can be found at: https://www.kcl.ac.uk/mathematics About the role Applications are invited for a position of Teaching Fellow in Probability in the Department of
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, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming languages Multi-modal image registration and quantitative
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expertise in one or more areas of artificial intelligence. Strong programming skills in languages such as Python, R, or Java. Excellent written and verbal communication skills. Preferred Qualifications
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research, or related quantitative methods. Proficiency in at least one statistical programming language, such as R, Python, or Stata. Experience integrating individual-level data with state, county
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-database ( https://cocodataset.org ); and apply and interpret the architecture to local field potential data recorded in humans who have seen movies. The data for the project is already collected and
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possess robust empirical research knowledge within the realm of political science. They should be proficient in conducting quantitative analyses. Experience with programming in R or equivalent
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language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants primarily hinges on their documented academic
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Boehringer Ingelheim International GmbH | Biberach an der Riß, Baden-Württemberg | Germany | about 3 hours ago
functional validation. Proficiency in scientific programming and quantitative data analysis. Ability to formulate testable hypotheses and develop a realistic, innovative research plan suitable for