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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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Master’s degree in biotechnology, bioengineering, biosystems engineering, chemical engineering, food science, or a comparable field of study, preferably with an affinity for technical tasks - Basic knowledge
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are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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modelling is greatly beneficial. Excellent English and the willingness to learn the German language are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science
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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong
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international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract with the possibility