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Plasmonics group together with the Ultrafast Dynamics in Nanoscale Systems group at the Eindhoven University of Technology have a 2-year postdoc position in the field of thermal management of plasmonic
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of molecular interactions. The lab is part of a young and dynamic faculty with strong academic and industrial collaborations. https://pharmchem.univie.ac.at/research/staff-members-visualization/ Your future
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to apply Website https://jobrxiv.org/job/university-of-copenhagen-27778-postdoc-in-spatial-genom… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity
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can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/ . Where to apply Website https://jobrxiv.org/job/university-of-copenhagen-27778-postdoc-in-spatial-analy
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about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist to join our dynamic
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: https://renew.ku.dk/about/stem_cell_medicine/ The University of Copenhagen and other local support structures provide a rich innovation-driven environment for researchers to advance their discoveries
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing
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this project, you will set up high resolution, realistic numerical simulations of Greenland fjords, and study the ocean dynamics and the interaction with ice. This project is a collaboration between the TU Delft
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and refined our pioneering AI-driven methods. This project focuses on improving protein structure prediction, design, quality assessment, and dynamics using innovative machine learning techniques. You