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REQUIREMENTS The Department of Electrical Engineering is seeking applicants for a part-time researcher position. Job duties to include: Performing Neuromorphic Algorithms Assisting graduate students
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of movements via accelerometer data and evaluate how current and emerging socio-technical systems respond to and influence situated particulars in human-algorithm interaction. Furthermore, projects that at how
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 3 days ago
and embedded SW (PCB Layout, C/C++) Creation of algorithms for data evaluation and control – deployment of AI tools What do we expect? University degree in a technical field Also open to graduated
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 8 days ago
& development activities Participation in projects for the development and application of new IoT technologies and monitoring systems Design of HW and embedded SW (PCB Layout, C/C++) Creation of algorithms
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of movements via accelerometer data and evaluate how current and emerging socio-technical systems respond to and influence situated particulars in human-algorithm interaction. Furthermore, projects that at how
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | about 2 months ago
Systems Group. The selected candidate will conduct research focused on the development of physics-inspired algorithms, quantum computing using tensor and neural networks. The position does not include
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the execution of the following tasks related to modelling the incineration process of the pilot units, with the following main objectives: - development of evolving algorithms based on Machine Learning
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PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms, or applications. (2) Proven engineering expertise: Hands-on experience
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive