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of rural development with a focus on energy transitions. They will be involved in empirical work linked to WP6 tasks, and develop mixed-methods grounded in qualitative research and comparative analysis
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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Researcher: Unequal Opportunities to Advance Equality? Gender and Racial/Ethnic Civil Society in Comparative Context Project description The position is linked to the ongoing VR- funded project
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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community and our international partners. Employment information Employment: Temporary employment with the start date of 2025-09-01 or according to the agreed terms Scope: full time Number of positions: 1
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evaluation frameworks and/or the development of energy system optimization models. The research is applied and closely linked to industrial interests and needs. About the research Our research aims to provide
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and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
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molecular mechanisms that drive its invasive behavior, both general and patient-specific. Using cutting-edge spatial techniques and CRISPR-based methods, we build data-driven models that link gene regulation
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. Additional information For doctoral students, there is a specific salary scale linked to each faculty and salary is set according to the current salary scale. Interviews will be conducted in mid-June. Please
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of Medicine Work Assignments Manage and analyze population-wide data from Swedish national registries. Use advanced statistical methods (SCCS, survival analyses). Link and structure large datasets (ICD codes