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Field
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the research platform. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Artificial Intelligence, Data / Computer Science, Engineering, Signal Processing, or a related
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computer programming Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research Strong written and verbal communication skills We regret to inform that only
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent
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-site datasets collected across international collaborators. The role will involve working closely with MRI physicists, clinicians, computer scientists, engineers and mathematicians to ensure high-quality
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is highly preferable Experience in material characterization, computational engineering, programming and computer aided design will be prioritized Work independently and in a structured manner, and
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interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning environments, design
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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, of a PhD in physics, mathematics, chemistry, computer science, engineering, or a closely related field. Strong foundational knowledge of, and research experience in, dissipative quantum dynamics
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and