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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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. Hiep Luong (Dept. of Telecommunications and Information Systems, FEA); Prof. Dr. Thomas Hermans (Dept. of Geology, FW) Project summary In this research, we develop and optimize geophysical survey
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(in English or German) to Prof. Dr. Robert Wille ( robert.wille@tum.de ) until 19.08.2023 . Severely disabled applicants will be given preference if they are essentially of the same suitability and
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efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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! Please send your application (in English or German) to Prof. Dr. Robert Wille (robert.wille@tum.de ). Severely disabled applicants will be given preference if they are essentially of the same suitability
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know why you would be a great candidate! We are looking forward to hearing from you! Please send your application (in English or German) to Prof. Dr. Robert Wille (robert.wille@tum.de ). Severely
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scientific work on design automation for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. One of the main challenges in