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or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
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experience in programming. We offer the opportunity to develop and expand in different areas of work when it is in line with the project goals. The candidate will study and integrate large data sets and
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, as well as databases and data structures for large data volumes is also a merit. “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible
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We are looking for a person who has experience working with large data sets relevant to ecosystem research infrastructures and who is interested in communication and administrative support. About
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part of our dynamic team, you will work closely with researchers to process large-scale biological data and contribute to advancing our data analysis infrastructure. Strong problem-solving skills
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and elsewhere. The work tasks will include among other things: Helping researchers and engineers manage large-scale data. Working with sensitive human data in secure compute environments. Developing and
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large dissemination of information on research and development projects Applicants' competence in conservation biology with relevance to the overall subject of restoration ecology will be assessed
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molecules and solids. This work involves data-driven analysis of electronic structure calculations to reduce computational time. The modeling of large systems will also include development of specialised
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. The group at IAS specializes in the analysis of large social systems. Research in the group focuses on topics such as labor mobility and residential mobility using data from Swedish national population
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in