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Department. Profile You hold a master’s degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a closely related discipline, or you will have obtained it by the time
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, Bioinformatics, Computer Sciences, or related field, or an equivalent terminal degree (MD, DVM, PharmD or MD/PhD), and at least 1-2 years of postdoctoral training. The selected individual must positively and
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technologies in interpersonal relations and in interaction with organizations, to gain insight into computer-mediated communication, its applications and effects, and to pursue evidence-based communication
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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) Desirable Skills: • Prior experience in light-matter interaction, quantum information, quantum computing. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents
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work closely with industrial partners to design, construct and test pre-production hardware for demonstration in realistic sea conditions. The ideal candidate will be educated to PhD level in electronic
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with expertise and experience in (1) Generative Modeling, (2) Multimodal Learning, (3) Generative AI and Computer Music, and (4) Efficient AI. Duties The appointees will be required to: (a) conduct
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 3 hours ago
conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation, which may be
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and project developers in reusing them in new projects. Taking the Chalmers campus as a starting point, we are developing scalable, AI-powered methods, such as computer vision for street-view imagery