665 computer-programmer-"Multiple"-"U"-"O.P"-"Duke-University"-"U.S" positions in Netherlands
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Field
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Apply now We are offering a full-time, three-year Postdoc position as part of the Dutch Research Council external link (NWO) ENW-XL programme. You will join the Levato research group at the Regenerative
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to the ground segment and operations domains, for the procurement and delivery of data systems in support of ESA’s Space Safety Programme, and as a matrix support provider to ESA programmes and mission operations
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analysis and dose verification (depending on your experience). What you will do As a postdoctoral researcher, you will: Independently carry out experimental and computational research within
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for all the daily matters within the Unit and for the achievement of the Unit's objectives; Ensuring proper coordination with the TEC/Programme Directorates Business Partners Function; Representing
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facilities that are fit-for-purpose for successful programme operations. They make sure the right (strategic) dialogues with programme owners take place, so services and facilities continuously evolve with our
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seminars, workshops, and conferences of the programme. Selection Criteria For a post-doctoral researcher: a PhD in comparative political economy, political science, economics, sociology, public
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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Location ESTEC, Noordwijk, Netherlands Description Head of the Secure Connectivity Satellite Platform Section in the Secure Connectivity Space Segment Office within the Secure Connectivity Programme
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Management and Ground Segment Department, Directorate of Earth Observation Programmes. Copernicus is the Earth observation (EO) component of the European Space Programme, offering accurate, accessible data
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation