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Field
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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spectroscopy technologies (i.e. optical hardware). • Molecular biology / protein biochemistry expertise. • Experience in analyzing protein structural data (not necessarily acquiring the data). • Having already
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, computational intelligence and machine learning, autonomous systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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Researcher (R1) Application Deadline 1 Mar 2026 - 21:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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, to further advance the practical, everyday use of the technology. Qualifications Applicants should hold a MSc in electronics, computer engineering, biomedical engineering, Physics, or a closely related field