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Field
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in a research project on machine learning modeling and optimization of vertical farms. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced control
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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to their spin properties. What you will do You will program the connection of quantum experiments to an existing HPC system for the external execution of quantum algorithms. You will develop an efficient user
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lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
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learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing. Designs and develops machine learning computer models (i.e. algorithms) for medical
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, algorithm development, AI, and machine learning, supporting fusion energy engineering through advanced simulation and workflow optimisation. You will work on impactful, collaborative projects across academia
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field. Expertise in systems dynamics and controls, automation, and/or robotics Demonstrated experience in developing and implementing advanced controls and sensing algorithms Demonstrated ability to work
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work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream settings
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, development of algorithms, publications and/or patents. Strong algorithm development and programming skills in MATLAB/Pyton and C++ Working knowledge of state of the art machine learning techniques Familiarity
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position will work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream