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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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directions include: ● Generative models of cell–cell communication . Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint
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a fundamental mechanistic understanding of how precise timing and spatial localization are achieved, and the specific signals that trigger T6SS assembly remain unknown. Learn more about our recent
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communication. Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint models of regulation and dynamics. Flow- and diffusion-based
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-generation strategy for making radiotherapy more selective, effective, and clinically accessible for difficult-to-treat pediatric tumors.
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childhood through adolescence. Data collection will primarily take place in schools, where children and adolescent research participants will complete computer-based learning tasks designed to capture
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optics, supported by an excellent academic record, Experience with data analysis and familiarity with software tools for automated measurement, data acquisition, or data processing, The ability to work
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schools, where children and adolescent research participants will complete computer-based learning tasks designed to capture metacognitive monitoring and regulation during task performance. The successful
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related to tasks and the job profile please contact Prof. Dr. Lara Wolfers at [email protected] . For questions about the application process please contact [email protected] . We are looking