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intelligence methods, with proven publication record in scientific venues in the field, as well as programming skills. Publications in top-tier AI and NLP venues (e.g. NeurIPS, ICML, ICLR, JMLR, ACL, EMNLP, TACL
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for the work to be carried out. Research experience after completing the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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cytometry, other immunological methods and mouse colony management is required. The applicant should have the ability to work productively both independently and as part of a team. The position is available
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at the urban and regional levels, with a special emphasis on the empirical assessment of the causal effects of policy measures using quantitative methods. The selected candidate is expected to build and lead an
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The objective of the research project is to update the methods for monitoring carbon sinks in the land use sector to obtain more accurate information about the status and changes in carbon stocks
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of policy measures using quantitative methods. The selected candidate is expected to build and lead an active interaction with decision-makers in urban policies and representatives of other stakeholders, and
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deep learning frameworks What We Offer: Innovative Projects: Work on high-impact health research and decades of extensive real-word health data using the latest analytic and AI methods in
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drylands, and other pressing environmental issues. You will gain experience in working at unique research sites in iconic East-African savanna landscapes and learn about the state-of-the-art methods in
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of the University salary system for teaching and research personnel and includes a component based on personal performance. Standard Finnish pension benefits, occupational health care, and opportunities