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20.05.2025, Wissenschaftliches Personal A PhD position is available at the high-tech startup lifespin GmbH in Regensburg in a collaboration with the Technical University of Munich (TUM) and the
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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university degrees and transcripts of individual grades • PDF copy of your Master’s thesis or a seminar paper The position is suitable for disabled persons. Disabled applicants will be given preference in case
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Your Job: This PhD project will be part of the Green ERA-Hub project AGROSOIL-Agrogeophysics for Sustainable Soil Management under climate extremes. With project partners in Ireland and Uruguay
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Max Planck Institute for Solid State Research • | Stuttgart, Baden W rttemberg | Germany | 15 days ago
Degree Dr rer nat or PhD Doctoral degree or degree awarded by University of Stuttgart or one of the universities at the partner locations Course location Stuttgart In cooperation with Max Planck
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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for doctoral programmes: any time Application deadline There is no application deadline for this programme. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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Internal doctoral candidate: no tuition fees External doctoral candidate: 2,280 EUR per semester Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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advance. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content This PhD programme is offered to candidates from
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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