32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Copenhagen in Denmark
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extensive experience working with large data sets in Python are required for the position. Experience with machine learning, OCR, natural language processing, geospatial analysis, and data visualization is a
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required. The position is funded for two years, with the possibility of extension for a third year. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty
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an opportunity to actively engage as a collaborative partner in different projects depending on their interests and expertise. Learn more about the Center and our research, vision, and values here . About the
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office supplies Make sure the kitchens and coffee machines are clean and tidy Lighter administrative tasks We expect: Initiative and curiosity You are responsible and enjoy managing the practical tasks
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systems. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo
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for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty
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expected to learn new laboratory techniques and become able to use them autonomously. Furthermore, he/she will attend weekly seminars and laboratory meetings. The working hours are 37 hours per week. For
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: https://employment.ku.dk/faculty/criteria-for-recognising-merit . Furthermore, we are looking for a highly motivated and enthusiastic scientist with the following skills and experience: Essential
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https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 13. Questions For specific information about the PhD fellowship, please contact
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focuses on the complex interplay of health, social, and environmental factors that shape individuals, families, and networks over time. Learn more about the Center and our research, vision, and values here