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or genetic The specific scope of the project will be developed together with the student based on personal interests and skills. Your qualifications: Enrolled at a German University (Computational
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Observation Data For HPDA/HPC: Experience in setup, management, and user support of HPDA computing systems; experience in optimizing algorithms for HPC systems For Education: Teaching/training experience in
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this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
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, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in
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, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 15 days ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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degree (Bachelor's or Master's) in mechatronics, electrical engineering, computer science, or a comparable degree Sound knowledge and experience in measurement technology and mechanics Ability
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citizenship Licenciatura-degree in study programmes with a minimum of eigth semesters or evidence of professional qualification within a study programme with a minimum of ten semesters. Academic excellence, you
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge
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to coating processes and thin film analytics. This is an excellent opportunity for a student pursuing a degree in Computer Science, Engineering, or a related field to gain practical experience in software