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-on laboratory skills and troubleshooting mindset - Mechanical design and rapid prototyping (CAD, machining, 3D printing) - Instrumentation integration (sensors, cameras, data acquisition systems
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advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and deep learning. He/she will support the development of an improved forest RTM that can
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their research careers. They would also be expected to help seek external funding for their work. The postdoc will receive close one-on-one mentoring, opportunities to present results at conferences, and guidance
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum
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inference (otherwise known as spectral retrieval), which involves using forward models in conjuction with Bayesian or machine learning-based techniques in order to derive posteriors on parameters of interest
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at CERI under supervision of Dr. Goebel. and should contribute broadly to induced seismicity research. Specific research topics include seismicity analysis, machine learning, reservoir modeling, geothermal
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performing theoretical DFT calculations for solid-state systems and lattice dynamics calculations applying machine learning techniques to predict the solubility of pharmaceutical cocrystals supervising and
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of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoc (M/F) to be recruited to join the Machine Learning
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include responding to inquiries, managing appointments and reimbursements for Postdocs and Visitors, and serving as a liaison with various stakeholders. This role will also handle appointment processing