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Academic Job Category Faculty Non Bargaining Job Profile Postdoctoral Research Fellow Job Title Postdoctoral Research Fellow – Urban Health & Substance Use Department Nolan Laboratory Division
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow – Urban Health & Substance Use Department Nolan Laboratory Division of Social Medicine | Department of Medicine
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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applications for a postdoctoral research fellow position as part of the Silva21 project. This position is ideal for a motivated and independent researcher with expertise in forest operations, silviculture
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
Operations to play a pivotal role in research implementation, coordination, and management of a project focusing on these topics. The postdoc will join a dynamic, dedicated group under the supervision of Prof
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Department: Mechanical, Industrial and Mechatronics Engineering Position supervisor: Dr. Farrokh Janabi-Sharifi Contract length: 1 year Hours of work per week: 36.25 Position type: Postdoctoral
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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repertoires within the thymic niche. Identify molecular and signaling targets to guide the engineering of functional thymic environments and optimize T-cell output from pluripotent stem cell-derived progenitors
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the thymic niche. Identify molecular and signaling targets to guide the engineering of functional thymic environments and optimize T-cell output from pluripotent stem cell-derived progenitors. Automate