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Harvard University Faculty of Arts and Sciences | Cambridge, Massachusetts | United States | 3 months ago
Rewards website (https://hr.harvard.edu/benefits-wellbeing ) to learn more about our outstanding benefits package, which may include: Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks
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or nearing the completion of a relevant PhD. Essential skills include hands on experience with mechanical characterisation of biological entities and investigation of their flow patterns inside closed systems
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at the time of acceptance of the publication. Students must not have previously received the award during the same degree program Please be sure to learn about open access publishing before submitting
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disease and medical conditions using state-of-the-art methodologies. We invite you to browse our website to learn more about our rich offerings of clinical services, education, and research. https
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, including: (i) estimating heterogeneous effects using RDD and causal machine learning methods; (ii) modeling dynamic longitudinal health data; and (iii) developing and refining statistical models and tools
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coordinator for all lab organizations, clinical data management, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine
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. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement or programme of work Publications, including blogs, reports, web
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world. Vision 2028 has been developed to transform our curriculum, pedagogy, research impact and partnerships to make a positive difference to student, graduate, and community success. Our ambitious but
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leadership program and form a global network of connections. Student type Current Students Faculties and centres Centre for Aboriginal Studies Faculty of Business and Law Faculty of Health Sciences Faculty
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. The goal of this research is to enhance power quality and security for Naval power systems using non-intrusive approaches, advanced signal processing tools and machine learning to advance anomaly detection