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, or climate data is advantageous but not required. What We Offer A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post-doctorate is part of the ANR DEEP-SENS (Demystifying
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completion of scientific studies. Applicants with a strong background in computational biology are encouraged to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at
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postdoc, your research will be aimed at further developing ultrafast photoacoustics for overlay metrology. You will perform simulations and experiments to explore the feasibility of the approach on basic
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at the nanoscale. The Division has a strong commitment to undergraduate education, not least in the Master's programme "Engineering Nanoscience" at LTH. A significant part of the research at our division is in
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ability to develop, perform, and communicate high-quality research in relevant scientific areas. Documented experience corresponding to a PhD in biochemistry, biophysics, chemistry, computational biology
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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workshops. Develop scripts and perform simulations using CFD and FEM software. Write technical reports and publish high-quality scientific papers in international journals and conferences. Qualifications
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to understand biodiversity shifts and their impact on ecosystem functioning. This position offers a unique opportunity to work at the intersection of molecular ecology, biodiversity informatics, and coral reef
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood