170 evolution "https:" "https:" "https:" "https:" "ESPCI Paris PSL" positions in Finland
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- UNIVERSITY OF HELSINKI
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Environmental Sciences comprises roughly 40 research groups which employ 40 principal investigators and 120 researchers. The research programme is situated in the Viikki science park. https://www.helsinki.fi/en
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development, public engagement, report drafting and reporting on project results. Requirements for the position and assessment of qualifications In accordance with the University of Helsinki Regulations
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skills include participating in the planning and development of teaching together with the other staff of the Department of Cultures, degree programmes and discipline. The role also includes administrative
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methods and software development. The objective of the Unit is to balance basic and industrially applicable research, having both performed with excellence in each of the research areas. The positions will
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. The initial salary is €4064, and the contract includes occupational health care. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively
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programs The University of Helsinki provides its staff with occupational health and sports services as well as professional development opportunities (https://www.helsinki.fi/en/about-us/careers/why
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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documentation What we offer A friendly, international research environment with high-quality infrastructure Training opportunities and professional development Comprehensive employee benefits (occupational health
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning