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Prof. Fiona Newell. The broad interest of the MPAC lab is to investigate how we recognise the things that surround us in our world using our main sensory modalities. We take an experimental approach
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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). Within our research laboratory, we develop machines that can reason and act in complex environments. Our primary research area is Automated Planning, which we complement with techniques from Machine
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years. Requirements: Master/Bachelor in Physics, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via
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a social science field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program
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, master equation approaches. https://www.nims.go.jp/eng/employment/data/nhidm20000004hk6.html [Work content and job description] Research on magnetic properties and related topics employing statistical
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well as with other team members; manage on-going research projects on human fertilization and early embryo development; publish original research articles in high-impact journals; and secure external competitive
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scientific channels including high impact scientific publications, presentations in conferences, etc. Supervision of Master or undergraduate studies. Where to apply Website https://jobs.energy.imdea.org/admin
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data, union data and measures of institutional embeddedness. The Fellow is expected to produce original research work from this data, delivering historical analysis of income distribution dynamics in