678 machine-learning-phd positions at University of California, Los Angeles in United States
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effectively with interdisciplinary teams Willingness to participate in at least one area of specialized practice annually Computer proficiency Post-masters social work experience in a healthcare setting
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JOB DUTIES Description In collaboration with the Learning and Development team, you will develop and deliver virtual and in-person instructor-led trainings including the creation and development
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, parallel processing on servers Background knowledge in neuroscience Background knowledge in machine learning and statistics Electrophysiology signal processing Alignment of disparate streams of neuroscience
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the resulting data. You will also manage essential laboratory functions, such as ordering and stocking supplies. Additionally, you will have the opportunity to learn new techniques and take on special projects as
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required as samples are frequently precious. Openness to learn detailed multi-step protocols and perform them precisely. Familiarity with basic laboratory practices including pipetting and making solutions
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speech and language needs Excellent communication and interpersonal abilities Able to efficiently learn new computer and clinic systems Excellent documentation abilities At least one year experience
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needs Excellent communication and interpersonal abilities Able to efficiently learn new computer and clinic systems Excellent documentation abilities At least one year experience (no CFY) Less than 4
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applications including Word, Outlook, PowerPoint, and Excel, and willingness to learn new computer-based systems for worksite management.
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the evaluative process, the RN will teach and instruct patients on pre-operative care management and coordinate care with the physician, patient and staff. The RN is responsible for maintaining efficient patient
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Qualifications PhD or PsyD in Clinical Psychology Valid CA State Psychology License Extensive training in psychotherapy and psychopathology Prior experience working with youth patients with depression, self