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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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relative to own or related projects when requested; Contributing to the Centre’s training program by teaching and tutoring on internal and external workshops (online and in person); Contributing
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publication record in immunology/epigenetics. Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs . Please also read recent
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Geosciences, Environmental sciences, Civil or Environmental Engineering, Physics or Mathematics or a related discipline Experience in programming (e.g., Python, MATLAB, or similar), interest in machine learning
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to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and Polar Life). The cohort work will directly contribute to
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in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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outstanding mentoring. The Department includes 25 faculty across clinical, clinician-scientist and research tracks and houses robust clinical and research training programs at the post-doctoral fellowship
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or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic