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Field
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publication, and proposal preparation 10%: mentoring PhD and MSME students 10%: laboratory organization and management 5%: other duties as assigned Responsibilities In this position you will be expected
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 0,1 FTE
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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section Participate in experimental campaigns at the European XFEL About you: PhD or equivalent experience in physics, engineering, or a related discipline is required Strong skills in numerical modeling
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KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Mar-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Engineering Internal Number
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e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
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postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry. Requirements PhD degree in biochemistry or structural biology
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to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable
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landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g