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benefits. The initial appointment is for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since
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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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or as soon as possible afterwards. Your qualifications • Excellent university degree in electrical engineering, communications engineering, mathematics, physics (or similar), ideally with prior knowledge
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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holding a master degree in mathematics, computer science, physics, geoinformatics, data science, or related fields. You should be interested in independently investigating scientific questions and working
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics
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domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics, Engineering, Chemistry, Physics or a similar subject. Most importantly, you should be
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consultancy and teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish
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, christian.deppe@tum.de) Your qualifications ▪ Master’s or doctoral degree in electrical engineering, communications engineering, mathematics, physics (or similar) ▪ Interest in theoretical work with high practical
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) and present your work at top conferences and journals in our field. Candidates should have completed their Master/Diploma studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering