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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
stimulating scientific and industrial environment of the highest level, with access to a national network of leading research institutions and industry partners, regular interactions with the broader EDT
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page to watch video, or click here to open video) About the position Embankment Dam Safety under Flexible Hydropower Operation: Internal Erosion and Filter Performance About the position The Department
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
and oral English language skills You must meet the requirements to obtain NATO security clearance for access to the facilities of the partner companies Experience in using a combination of qualitative
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participation in BIOCRAFT project meetings and close collaboration with the international project network is expected. Where to apply E-mail [email protected] Requirements Research FieldBiological
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science dissemination Participate in the research groups Arctic Hive Mind and Risk, Safety and Asset Management Participate in international activities such as conferences and/or research stays at foreign
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
position is to be filled within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome-based leveraged microbiome management in the context of One Health. METAMIC 3 is funded by the European
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, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with
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, creating a European optical time and frequency distribution network, or building an industry prototype of an optical clock . Our group is furthermore exploring continuously operating atom interferometers
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. Duties of the position Complete doctoral education leading to a PhD degree. Participation in and contribution to the development of the following research, network and education groups including through
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable