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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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of complex dairy farm systems using Python. This role focuses on translating real-time farm data—including new energy monitoring feeds—into farm-specific 'what-if' scenarios. The goal is to provide farmers and
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, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated simulation models of complex dairy farm systems using Python. This role focuses on translating real-time
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 2 days ago
., Python, g-code) Data analysis Statistical analyses How to create reports Mentor: The mentor for this opportunity is Prasanna Hariharan (Prasanna.Hariharan@fda.hhs.gov ). If you have questions about the
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in research methods or data analysis Proficiency with data analytic programs (e.g., Stata, SPSS, AMOS, SAS, R/Python, etc.) Experience translating and disseminating research findings to broader
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reporting standards * Familiarity with deep learning technologies (e.g., CNNs, transformers) * Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.). * Skilled in writing and able
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calcium imaging, Matlab/Python programming and/or behaviour A good publication record in neuroscience. Informal enquiries to Carolina Rezaval, email: c.rezaval@bham.ac.uk View our staff values and
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of Research Experience1 - 4 Additional Information Eligibility criteria - Publish scientific results - Exchanges with international scientific colleagues - Statistics and skills in programming (Python, Matlab
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(e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Strong foundation in experimental design, advanced statistical analysis, and scientific writing. Proven
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested