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are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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Business School and the Stockholm School of Economics with a network of collaborating scholars, primarily at European universities. Previous postdocs from the group have gone on to academic positions at well
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the Scandinavian Crystallography Service and expanding its scientific reach Build a strong professional network within the international synchrotron and crystallography communities. Qualification requirements
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Universitetsbyen 81, 8000
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Laboratory, which investigates how post-translational modification (PTM) networks regulate protein function, genome stability, and cellular decision-making. The laboratory builds on internationally recognized
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working relations, network activities among young scientists and social activities. A workplace characterized by professionalism, equality and a healthy work-life balance. Place of work and area of
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Professor Jesper W. Schneider. The position will involve a combination of quantitative and qualitative research tasks, including bibliometric analysis, social network analysis, survey design and analysis