1,457 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Stony Brook University
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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track record in neurobiologically mechanistic modeling (i.e., models should incorporate known neurobiology and neurophysiology, rather than relying on black-box machine learning approaches
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neurobiologically mechanistic modeling (i.e., models should incorporate known neurobiology and neurophysiology, rather than relying on black-box machine learning approaches). * Demonstrated track record in multiscale
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. Preferred Qualifications: One year of healthcare experience. One year of long term care experience. Excellent computer skills. Excellent written and verbal communication skills. Resume/CV and cover letter
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/or EMT/Paramedic certification OR at least 1 year of full time experience as a healthcare worker. Basic computer skills. High level of attention to detail, ability to remain focused and attentive
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Senior Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree or foreign equivalent degree. Three years of research experience in machine learning and
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, is a 350-bed skilled nursing facility with a 40-slot Adult Day Health Care Program dedicated to the care of honorably discharged Veterans of the United States Armed Forces, their spouses and Gold Star
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track record in neurobiologically mechanistic modeling (i.e., models should incorporate known neurobiology and neurophysiology, rather than relying on black-box machine learning approaches
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of the patient's physician. Enters data concerning blood specimens into a computer database; maintains appointment schedules and logs patients seen and tests obtained; records results of patients tests and files