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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
climate simulations and interact with stakeholders to develop physically plausible heatwave scenarios for the city of Hamburg and the rural region of Heide in Schleswig-Holstein. In a participatory approach
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. The department focuses on the production, analysis, and simulation of functionally optimized structures from the nanometer to the micrometer scale in electrochemically active materials, as well as the development
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considered. Applicants should provide a curriculum vitae and a copy of official transcripts of diplomas and grades from all academic institutions of higher education listed in the CV. In addition
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, carbohydrate-active enzymes, polymer chemistry, spectroscopic methods, material science, 3D-printing, statistical physics and molecular dynamic simulations, formulation technologies. Excellent communication
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supervision by AI and metabolomics experts at lifespin, as well as by participating professors from the TUM and HSWT. Key Responsibilities Simulating synthetic NMR spectra based on biophysical principles and
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, sense amplifiers or memories Implement and verify circuit layouts through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Develop behavioural models for circuit verification
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schematics, layout, test benches and simulation Design blocks as Op-amp, LDO, VCO, PLL, voltage or current reference circuits Develop innovative analog design solutions to enhance signal integrity, noise
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characterization and benchmarking protocols for their suitability to provide efficient cost functions for the optimal control of gate calibration in full-stack quantum computers and simulators. Based on your
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Perform formal verification
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The Chair of Transport Modelling and Simulation at TUD Dresden University of Technology is investigating models, algorithms and simulations to achieve an enhanced scientific understanding