119 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at King's College London
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of Psychological Medicine focuses on the interface between psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings. The disorders of interest are those
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from all over the world, and teach them to engage in innovative and interdisciplinary approaches to understanding music and its experience. The Department hosts highly acclaimed lectures, conferences
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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, with proficient computer use and strong interpersonal and influencing/behavioural skills. Proactive and responsive to contacts in immediate area, across the wider organisation and externally (e.g
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real drive to learn, grow, and build a professional career in project delivery. Working alongside experienced colleagues, the postholder will help coordinate project activities, maintain positive
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are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine-learning to identify the treatment-relevant immune processes, with an emphasis
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of online learning activity across King’s. The department has three divisions: content production; operations; and student success. The Student Success function was established in 2024 and provides a
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: - Dedicated learning days to support your career development - Hybrid and remote working arrangements and, - A culture of collaboration and teamwork We believe that our differences make us
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for genotyping Clear spoken and written communication skills, with proficient computer use and strong interpersonal and influencing/behavioral skills Proactive and responsive to contacts in immediate area, across
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are performed. The successful candidate will design and deliver the 'Professional or Practice Based Research Dissertation (45 credits)' module, in which (supervised) students learn about emerging data governance