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Field
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with operating agricultural and/or processing equipment and analytical equipment; Computer skills and experience using multiple software packages. Point of Contact Janeen Eligibility Requirements
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with standard laboratory conditions. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. May require routine work with biological samples, including
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strategies Design of user-friendly tools for the identification of unknown compounds from the spectral datasets utilizing various computer algorithms and artificial intelligence tools Participation in high
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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interdisciplinary research teams on quantitative analyses of complex genomic datasets; Learn to use remote, high powered computer clusters to process large datasets. Mentor: The mentor for this opportunity is Adam
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Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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My Way (abilitynet.org.uk) Please note that CVs are not accepted in place of the application form. Within the application process you will be asked to answer a selection of work-related questions. Our
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of relevant disciplines include (but are not limited to): any physical, mathematical, computer or engineering science, with knowledge and/or some experience of energy technology and policy; and/or quantitative
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Degree received within the last 60 months or currently pursuing. Discipline(s): Computer, Information, and Data Sciences (4 ) Life Health and Medical Sciences (3 ) Veteran Status: Veterans Preference