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Department of Industrial and Systems Engineering Postdoctoral Fellow (three posts) (Ref. 260828006) [Appointment period: each for eight months] Duties The appointees will assist the project leader
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vitro and in vivo studies to validate antibodies targeting tau and help translate innovative discoveries into therapeutic outcomes. Join a vibrant research community of leading scientists, researchers and
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School of Public Health, Dr. Fran Grodstein, Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital) to explore key research questions, generate multiple publications, and help write
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career. Although the main focus is on delivering the research project objectives, there will be the opportunity for some clinical work to aid embedding in the team and support the integration between
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of extracting behavioural insight from increasingly complex and high-dimensional datasets? Would you like to help shape the next generation of behavioural modelling methods with applications in transport, health
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lab experiments Publish results in top-tier journals in related fields Assist in mentoring PhD students Job Requirements: PhD degree in mathematics, systems engineering, or machine learning Expertise in
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learning and Generative AI. Produce publications in top conferences and journals. Offer guidance and assistance to students involved in the project. Collaborate with industrial and academic partners. Perform
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and systematically • Analyse data and design subsequent experimental workflow • Assist in supervising, training and guiding attachment/undergraduate students as required Administrative duties
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mental disorders assist with the design and high-level coordination of new study protocols collecting clinical, biological, and behavioural data as part of immune-related mental health research projects
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Department of Industrial and Systems Engineering Postdoctoral Fellow (Ref. 260826010) [Appointment period: four months] Duties The appointee will assist the project leader in the research project