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programming language, such as R or Python Experience with atmospheric circulation classifications Active knowledge of the English language Specific Requirements Job description: Development of a methodology for
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
detectors and particle accelerators. Applicants should be highly motivated to work in a cross-disciplinary environment on R&D and engineering activities. The full job description is here: https://web.mit.edu
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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preparation, training, etc.: remaining hours Where to apply Website https://www.linkedin.com/jobs/view/3834699094/?refId=wDgdBI76yGBK38AkOAel9Q%3D%… Requirements Research FieldOtherEducation LevelPhD
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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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constrained and compared, and pre-eruptive tremor will be identified and interpreted. The Scope of Your Responsibilities: Conduct independent code development and testing in Python or similar Separate
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, TensorFlow) and the processing of 3D or geodata In-depth knowledge of at least one programming language (e.g., Python, C++) Very good German and good English skills Independent, solution-oriented, and
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sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and