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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! We
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 19 days ago
Experience in HPC computation (application and algorithm/code development) Willingness to closely collaborate with experimentalists and theoretician. Joint research approach of all ERC synergy team members
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algorithms, preferably in the domain of QC, such as QAA and QAOA Experience in cloud computing and building cloud computing infrastructure Interest and/or experience in developing and conducting lectures and
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1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Department of Theoretical and Computational Biophysics headed by (Prof. Dr. Helmut Grubmüller) is
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RWTH Aachen University, Department of Mathematics Position ID: RWTH -PROF [#26602, BANF 29059] Position Title: Position Location: Aachen, Northrhine-Westphalia 52056, Germany [map ] Appl Deadline
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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: Prof. Dr. Barbara Wohlmuth, Chair of Numerical Mathematics (M2) TUM School of Computation, Information and Technology Boltzmannstraße 3, D-85748 Garching Please do not submit original documents! We
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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