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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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: To synthesize Pb-free halide perovskites. To synthesize, delaminate and functionalize MXenes To develop novel sustainable ink formulations based on Pb-free halide perovskites, semiconductor oxides and 2D
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Infrastructure? No Offer Description Job Summary: Colloidal semiconductor nanocrystals (NCs) are highly versatile materials with established use in commercial lighting technologies. However, their broader
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-21-CE08-007 ended in March 2025). The work in N POLAR will focus on the development and optimization of this innovative process (hybrid semiconductor/metal/semiconductor heterostructures) in order to
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» Solid state physics Physics » Mathematical physics Physics » Computational physics Physics » Applied physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 11
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–78 (2024). Reed, Brian D., et al. "Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device." Science 378, 186-192 (2022). Ameta, Sandeep, et al. "Darwinian properties
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addition to the research, the applicant is expected to participate in the supervision of master's and PhD students. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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electrical characterization of wide and ultra-wide bandgap semiconductor materials and devices, including GaN, Gallium Oxide, SiC and diamond (key enabling materials for power and RF electronics) and/or
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cycle, from architecture to implementation, of a CMOS-based digital neuromorphic processor. Contribute to the design of a test setup for prototype validation in collaboration with the PhD student who is
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laser pulses, develop attosecond pulse sources and to study ultrafast processes in semiconductor nanostructures using electron instrumentation. The position(s) imply the development of ultra-short pulse