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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
, graph theory, linear algebra, optimization, calculus and probability and statistics Duration: The research fellowship(s) will have the duration of 3 months, with no foreseen extension. The starting date
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Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor
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on scheduled workdays. * Rigorous documentation of experimental protocols and results. * Clear communication with the Bright Center team and collaborators to appropriately prioritize projects and provide optimal
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status, or any other identity. Bard DNA seeks to create an inclusive and safe school environment. https://www.barddna.org/ We are seeking a Bard DNA Assistant Director who will work with the Director of
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initiatives & projects with a focus on continuous process improvement. Performs various administrative functions requiring basic knowledge of programs and services. Key Responsibilities: Provides positive and
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solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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to enhance and develop processes and operations to strive for optimal productivity and effectiveness. This position is located at the Illinois Center for Transportation (ICT) in Rantoul, IL. ICT is located
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library spending. · Assessment & Optimization: Assess acquisitions and technical service workflows and implement improvements including administering the latest processes in Alma and improving workflows and
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for the CERIC-ERIC project “LEMIS” aiming to adopt and improve existing Ion Beam Analysis (IBA) techniques for their optimal use in the analysis of materials of importance to energy storage. The successful
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving