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Qualifications: The successful candidate must hold a PhD in Computer Science, Artificial Intelligence, or a closely related field, and demonstrate a strong background in computer vision and machine learning
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computer and programming skills (e.g., Python, R) are highly beneficial Hands-on experience with ChemSpeed or related robotic platforms for reaction automatization is highly beneficial Previous experience in
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mathematics (diploma or master's degree) German language skills, if not first language: C1 Good computer skills Desired: PhD-theses in mathematics education Desired: Professional experience in teaching
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applications for research projects Support in conducting teaching activities (Human Medicine program and PhD program Medical Sciences) at JKU Your Qualifications: The successful candidate must hold a completed
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Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA) | Austria | 9 days ago
required Familiarity with historical and philological methods Good general computer skills and, ideally, familiarity with IT applications and solutions relevant to text-based research Personal skills
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Graphics: https://www.jku.at/cg Your Qualifications: The successful candidate must hold a Diploma/Master’s degree in a corresponding discipline (computer science, mathematics, engineering or related) or have
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: The successful candidate must hold a completed diploma or master’s degree in mathematics Knowledge of and experience in computer algebra and algorithmic algebraic geometry International experience Enthusiasm
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analysis Participation in administrative tasks of the institute Your Profile In-depth knowledge of transportation planning, road design and traffic data analysis Very good computer skills German and English
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF