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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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degree, a 1st-cycle engineering technology degree, a 1st-cycle architectural technology degree will not be considered equivalent. PhD or Master’s degrees do not, in themselves, constitute qualifications
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of Bachelor's, Master’s, and PhD students Contribute to academic administration (e.g., in selection committees for professorship positions, etc.) Your Qualifications: The candidate must have a completed doctorate
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Compensation: $82,158.00 Bachelor's Degree or Below $85,841.00 Master's Degree $89,529.00 PhD The rate is union approved and non negotiable. Compensation Type: Salary Employment Type: Regular Grade
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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converter control, and energy systems. Design, model, simulate, implement, and experimentally validate power electronic converter systems and associated control algorithms. Develop and evaluate advanced
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Science or related field At least 3 years of relevant experiences in a similar role with hands-on experience in AI algorithms, including experience gained during PhD Familiarity with neuromorphic computing and AI
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image