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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on
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development in large multi-site cohorts; and 3) developing advanced machine learning models of task-related brain function. The fellow will have the opportunity to contribute to these projects and will also be
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://www.academictransfer.com/en/jobs/357668/postdoc-position-in-synthetic-c… Requirements Specific Requirements You are an enthusiastic researcher who is eager to learn new techniques, does not shy away from challenges and
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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: Machine Learning / Machine Learning Lattice Field Theory lattice gauge theory Nuclear Theory Nuclear astrophysics Appl Deadline: 2026/02/01 11:59PM (posted 2025/11/04) Position Description: Apply
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and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
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. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We expect you to be able
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international highly regarded academic community of more than 100 employees, with around 20 professors, 10 lecturers, 20 postdocs, and 60 doctoral students. Our department has a welcoming culture which nurtures
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from varied sources, and machine learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly