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proteins, functionalities and application in food products. Experience and willingness to learn Proteomics and/or flavoramics, chromatography, and spectroscopy methods, instruments, and software are required
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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(UO). A key output from SMARTbiomed research is software for use by the research community. The appointee will be expected to contribute to the activities of the Pioneer Centre for SMARTbiomed including
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data using statistical software. • Contribute to the preparation of reports and presentations. • Assist with the preparation of papers for publication and make presentations at meetings and/or
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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writing. Assist in recruiting participants from NHS sites. Collect and analyse qualitative and observational data. Collect, clean, and analyse quantitative research data using statistical software
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Mechanical Engineering, Nuclear Engineering, Physics, or a closely related
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hold a PhD in Biology (evolutionary, or molecular/cell) or a related field (e.g., biochemistry). Applicants should have experience in wet-lab methods (e.g., PCR, molecular cloning, microbiology, protein