118 algorithm-development-"Helmholtz-Zentrum-Geesthacht" Postdoctoral positions in Sweden
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nationalities, backgrounds and fields. As a postdoctoral researcher, you receive benefits in career development, networking, administrative and technical support functions, along with good employment conditions
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods
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Description The lab of Kristine Steen Jensen is looking for a highly motivated and self-driven postdoctoral research-candidate for the development of systems for producing proteins with posttranslational
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for strategic development: materials research, integration of batteries with power electronics, and safe energy storage. This position is associated with the COMPEL platform located at the Centre for Analysis and
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Landscape Architecture Planning and Management (LAPF), along with collaborators in Norway, The Netherlands, Germany and Estonia. You will be responsible for designing, developing, conducting, and analysing
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into ongoing efforts at SLU. We are looking for a colleague who is ambitious in technical development and highly motivated to continue an academic career in remote sensing, with strong expertise in tree
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Estonia. You will be responsible for designing, developing, conducting, and analysing experiments, which will include small scale field and greenhouse trials of cover crops and potato as well as laboratory
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includes researchers from ten departments, and three areas of research have been identified for strategic development: materials research, integration of batteries with power electronics, and safe energy
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genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal patterns of genomic