3,138 phd-sandwitch-in-architecture-and-built-environment Postdoctoral research jobs in United-States
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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(approximately 1 course per semester for MA and PhD students within the research interest of the post holder), Conduct innovative and impactful research that pushes the boundaries of the field, collaborating with
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language models that can democratize access to reliable health information. Applicants will collaborate closely with PI Emma Pierson as well as other PhD students and postdocs in the lab. Union: https
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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Experience in preclinical models
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, analysis (NMR, HRMS, HPLC…), the writing of scientific reports, and will supervise in the lab area PhD students and will take benefit from an international environment. A previous experience in
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of all worlds! Beyond an ideal location, there is a place for you to work in an exciting environment abounding with opportunities for personal and professional growth. We are steeped in tradition and
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. Positioned at the intersection of the Department of Medicine’s Division of Rheumatology and the Department of Biomedical Informatics’ Center for Health AI, our team benefits from a unique environment that
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jointly led by several principal investigators. Our facilities include over 200 m2 of laboratory space and a large range of primary ultrafast laser sources, ranging from home-built fibre oscillators
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architecture/design, the postdoctoral fellow will be intimately involved in all aspects of the research, including the conceptualization, design, performance, analysis, and modeling of the results of VR