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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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microparticles based on resin derivatives, produced by extrusion. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Prof. Fábio Jorge Pereira Simões
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will design and implement systems to prepare and integrate data from wearable devices, daily questionnaires, and genomewide genetic and epigenetic sources. They will produce clear documentation
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an emphasis on technology, data science and the humanities. This opening is to employ a Research Fellow under Asst Prof Marie Loh Chiew Shia who is competent in the field of molecular epidemiology to contribute
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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Prof Kong Li Ren. The successful candidate will lead projects focused on tumour evolution, cancer metabolism, therapy resistance, and the tumour microenvironment, using platforms such as spatial
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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 11 hours ago
. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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Postdoctoral Research Fellow to work on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms