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design, computational fluid dynamic modelling, and assessment of thermo-fluid systems for aviation, focusing on icing in aircraft fuel systems. About You You will be educated to doctoral level in a
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models, and data processes. This role requires advanced data science and machine learning expertise, proficiency with Python ML libraries, strong SQL programming skills, experience with data pipeline
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. Upon graduation most students transfer to four-year colleges, typically in CUNY, to complete their baccalaureate degrees. Graduates of career programs such as Nursing, Computer Technology, and Veterinary
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processing, neuromorphic engineering, or a closely related field. A solid background in machine learning is expected, with interest or experience in spiking neural networks, temporal modeling, or bio-inspired
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Instruction Department's Website: https://cied.uark.edu/ Summary of Job Duties: The Instructor of Special Education requires collaborating with the Coordinator of Clinical Partnerships and program faculty in
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works independently and as part of a team. Able to learn effectively and meet deadlines. Demonstrated broad problem solving skills. Thorough experience with databases design concepts, data modeling, and
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patients, canine patients, and mouse and organoid models -- offering a unique opportunity to identify conserved genomic features and accelerate biological insight. Duties include*: Prioritize and extract
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Python. Other requirements to consider: Machine Learning knowledge. Specific Requirements Knowledge: Fluid Mechanics. Computational Fluid Mechanics (CFD). Aerodynamics. Wind turbines. It will be assessed
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Director, Community Engagement, Constituent Engagement, Duke Alumni Engagement and Development (AED)
retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning