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subjects, high interdisciplinary desire to learn, and willingness to cooperate, openness for internationalization and diversity, very good verbal and written English communication skills (good command
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of artificial intelligence, machine learning and/or deep learning experience in scientific publishing and presenting research results knowledge or experience in public health research Personal skills Independence
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, integrated English language courses No Tuition fees per semester in EUR None Semester contribution Basic fee of 85 EUR + additional fee for the "Deutschlandticket" (subject to change) https://www.lmu.de/en
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of different faiths and beliefs. Grounded in the Christian view of human life, the KU aims to create an academic and educational culture of responsibility. The research group Reliable Machine Learning at the KU
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data processing and analytical chemical analyses
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are usually held in March. Please visit our website for detailed information: https://www.imprs-mob.mpg.de/ . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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, you are part of a vibrant academic community. Marburg can easily be reached by plane, public transport, or by car. For detailed descriptions of the different routes to Marburg and to find one's way
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision