696 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at Cornell University in United States
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, treatment, operating rooms & general supply areas. Instruct veterinary students, and occasionally residents, in techniques of small animal restraint and handling, patient monitoring, injections, specimen
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such as: Advanced transportation systems modeling and simulation that could involve integrated machine learning and network equilibrium/simulation, surrogate models/ reduced order emulators or Bayesian
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lumen catheter placement with our busy caseload. Teach and guide our diverse DVM students and house officers through complex treatment plans and technical skill training. Collaborate with multiple
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information both verbally and in writing. Proficiency with common office software such as Microsoft Office (Word, Excel, Outlook) and the ability to quickly learn new systems and applications as needed. Ability
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Cooperative Extension Association indicated in this job posting must apply online via their employee Workday account, which may be accessed here: http://workday.cornell.edu/ Apply By All applications must be
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the opportunity to develop and teach courses in environmental physiology and related areas, with an emphasis on how animals adapt to environmental stressors at molecular, cellular, and systemic levels. This may
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the transition of this well-established seasonal camp facility into a year-round educational center with an emphasis on environmental science, adventure education and experiential learning. Primary
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Applicants (current employees working for the Association advertising this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please
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situations. Ability to work independently while managing multiple tasks with strong attention to detail. Demonstrated commitment to fostering a positive learning environment and safely supporting the training
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constituents. The individual hired into this position will teach and advise students in the department’s two-year master’s program in real estate in addition to Ph.D. students. The successful candidate will also