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depositing and fabricating thermo-electric devices onto non-planar metallic substrates. In a parallel track, the team will develop techniques for the design and manufacture of the structures with predictable
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strong track record of publications in peer-reviewed journals involving advanced emulation or physics-aware AI Demonstrated ability to work effectively in interdisciplinary and multicultural research teams
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected
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to the scientific community through GitHub. Profile A track record in building and deploying ML models for applications in materials research, and willingness to work on both methods development and applications