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systems. Emphasis is placed on developing algorithms and system architectures that increase robustness and autonomy under real-world conditions. 3. Automation Technologies to Improve Safety and Reduce Human
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9 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Environmental science » Earth science Physics » Acoustics Physics
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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integration, algorithm development and the creation of machine learning tools required for the project’. The successful candidate must have advanced knowledge of computer engineering, particularly of artificial
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Start date: 28/09/2026 Funding Sponsored by Cranfield University, this full-time PhD Studentship will cover the PhD programme fees and provide an annual bursary of £20,780 (tax free) for three years
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algorithms that can tightly integrate physical hardware, sensors, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining
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computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories
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techniques, explainable AI approaches, and transparent computational workflows. The work may also involve implementation and optimisation of algorithms in computationally demanding environments, as
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 27 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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to deeply understand how various AI algorithms work and how to implement them efficiently on a wide range of existing and upcoming hardware. Help us push the boundaries of AI compute, collaborating with