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assistance, and statewide leadership. Assist with the coordination and delivery of aspects of the assistive technology program regarding project infrastructure, coordination and management, and assisting with
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. The department is BTH's largest department, with 70 people. The research at the department is conducted in four major areas: artificial intelligence and machine learning, cloud computing and distributed systems
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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at Texas A&M University invites applications for a tenured or tenure track faculty position in the Industrial Distribution Program at the assistant, associate, or full professor levels starting in Fall 2025
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Position Details Position Information Working Title Assistant Professor or Lecturer, Industrial Distribution Brief Summary of Job Description The Industrial Distribution program is seeking
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write English. Preferred Qualifications: Pref 1 year Experience working in a Materials Management, shipping and Receiving or Central Supply/distribution environment required. Pref Computer literacy
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Description Assists the Pharmacist by performing a variety of technical duties related to the preparation, distribution, and control of medications within the hospital. Other responsibilities include those
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distribution of supplies. The COL will also provide HIV testing and counseling, make healthcare and social service referrals, distribute safer drug use supplies, and distribute naloxone and train clients and
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | about 17 hours ago
documented including that entries are signed, dated, timed, legible, and concise. Activities and recommended plans are clearly presented. Manages drug distribution to patients/patient care areas Distribution
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The University of Essex offers an exciting opportunity for a Senior Research Officer in Machine Learning to work on out-of-distribution generalisation for tabular data, under the EPSRC-funded