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funded PhD position on Uncertainty Quantification and Technology Qualification for Advanced Wind Turbine Components. This position is part of the MET2ADAPT Doctoral Network (Meta-Materials and Meta
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who thrives in a collaborative international environment Excellent communication skills in English (written and spoken) Nice to have: Experience with cancer genomics, single-cell analysis, or long-read
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machine learning and network biology. Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit a cover letter, full CV, and
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on existing methods, including a foundational model for mapping 2D mouse images to a canonical 3D mesh, with the goal of extending to full 3D reconstruction. This will enable inferring canonical 3D postures
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international translational research network and provides access to state-of-the-art imaging, genomics, metabolomics, and computational platforms. The fellowship offers exceptional training at the interface
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linguistic analysis of anti-Jewish hate speech online as perceived by students in higher education institutions since 2023. - Identify the accounts producing this discourse on various social networks, based
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datasets Implement LLM and Machine Learning algorithm Conduct statistical analysis in SAS or Stata Assistant with other ad hoc tasks Required Education Bachelor’s or Master’s degree in computer science
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 7 days ago
products and cloud properties. Other space missions also operated by EUMETSAT, such as the Copernicus missions, will contribute to this network of cloud observations. Within the Clouds and Aerosols
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- Literature review to identify and understand advanced methodologies for assessing the health of assets in networked infrastructures 2- Analysis and identification of integration requirements for asset
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in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 PhD students at 7 universities, one research center and two companies. The project has