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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of MSc and BSc students Presentation of research
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advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You will work closely with colleagues both
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher in this project, you will develop DSS and harmonize data
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of cardiovascular imaging is desirable but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher in this project, you will develop DSS and harmonize data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
Position Title Postdoctoral Research Associate Vacancy ID PDS004629 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring
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University Abu Dhabi seeks to recruit a post-doctoral associate to work on research centering around infrastructure systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral