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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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Faculty of IT and Design invites applications for a PhD stipend on the topic of Cooling Flexibility Modeling, Estimation, Aggregation, and Optimization, within the context of sustainable water-based cooling
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The Department of Computer Science at The Technical Faculty of IT and Design invites applications for a PhD stipend on the topic of Cooling Flexibility Modeling, Estimation, Aggregation, and
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position is for 36 months and is funded by the ENERPOL MSCA Doctoral Network. ENERPOL is a European research and training network (MSCA Doctoral Network ) exploring the role of households in the green energy
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networks. Responsibilities and qualifications The primary goal of this position is to push the boundaries of computer vision and robotics. The overarching mission of our newly established research lab is to
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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, international team with flexible work organization and support of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter