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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
enable the long-term monitoring of the emissions from large point sources across the globe, which will be critical for tracking progress in reducing air pollution and achieving net-zero emissions under
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technical profession Expertise in CAD design, 3D modeling, and additive manufacturing Ability to build and maintain complex experimental setups and laboratory equipment Experience with modern control and data
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100%, Zurich, fixed-term The Research Center for Energy Networks (Forschungsstelle Energienetze - FEN ) at ETH Zurich was founded in 2011 to address the need for independent, credible and applied
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antimicrobial drugs Investigate diffusion behavior, mechanical stability, and stimuli-responsive functionality of fibers Fabricate and characterize hernia mesh prototypes, including mechanical, thermal, and in
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, carbon dioxide removal (CDR) is needed to balance residual emissions on the path to net zero and to manage overshoot through net-negative CO₂ removals. Since about four years, our group studies
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advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
authorities and administrations at a regional, cantonal, and national level, as well as for joining international networks focusing on studying novel forest realities. You hold a PhD and have an excellent
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, fracture of soft materials, and modeling failure in multiphysical processes such as corrosion-driven degradation of concrete. What unites these efforts is a shared curiosity about why complex materials fail
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analysis of complex fluid dynamics and heat transfer processes. In this context, we invite applications for a Postdoctoral Researcher position to work on an international project, focusing on predicting and
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the position for you. Projects in the wet lab of the van Nimwegen group revolve around stochastic single-cell gene regulation in bacteria, the functioning of genome-wide gene regulatory networks, and the