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have an open position for a PhD student working in the GenAIDE project. GenAIDE (Generative AI for Industrial Design Engineering) is a Marie-Skłodowska Curie Doctoral Network (DN) funded by
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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. Methodological Approach Candidates will develop and apply state-of-the-art machine learning techniques, including deep learning, representation learning, variational autoencoders, and graph-based models. A strong
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for secure and resilient systems; privacy; secure sensing and control in critical infrastructures) Candidates with a PhD in Electrical Engineering, Computer Engineering, Computer Science, or other closely
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a wider ERA Chair team in interdisciplinary aspects such as microfluidic design and machine learning, however it is anticipated upon completion of the PhD the candidate will be positioned as a world
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. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
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Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning (ML@GT). Equal Employment Opportunity Georgia Tech is a member of the University System of Georgia (USG), where every
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02215, United States of America [map ] Subject Areas: Computer Science / Artificial Intelligence , Data Science , Machine Learning , Software Engineering Data Science / Artificial Intelligence , Data
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(Python or C/C++) with experience in systems engineering and software development. Solid knowledge of both basic and modern methods in machine learning, NLP and computer vision, including supervised and