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be working on the development of machine learning methods for single-cell data and will require interactions with collaborators of the team. Required skills : We expect a candidate with a strong
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both R and/or Python. Ability to collaborate and clearly communicate with stakeholders, state and federal agency biologists, university scientists, and non-governmental conservation organizations
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; collaborate with our research engineer to develop open-source software integrations for data reuse; developing a systematic evaluation protocol; organising events and other collaborations with community
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opportunities for learning and professional development through structured, short-term appointments at Oak Ridge National Laboratory (ORNL) . The program is intended for individuals who seek to gain exposure
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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: Teach 1 undergraduate course per semester. Assist graduate and undergraduate students in the development of research projects, data management and data dissemination through research abstracts and
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Learning. The successful candidate will collaborate closely with colleagues at the Royal Holloway University of London, as well as research partners in Italy, France and Armenia. The role includes overseas
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culture that prizes diversity, friendliness, and life-work balance. Our team spans five continents and varied worldviews; we treat these differences as a source of learning and strength. Projects are open
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-of-equilibrium frustrated magnets. The successful candidate will work in the group of Prof. Kemp Plumb at Brown University in close collaboration with neutron scattering groups at Oak Ridge National Lab
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and global competitiveness of the U.S. farming industry through creation of enhanced maize genetic resources. Learning Objectives: You will gain experience within a collaborative, multi-disciplinary