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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | 17 days ago
-phd-applications Where to apply Website https://www.uochb.cz/en/call-for-phd-applications Requirements LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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At the Faculty of Engineering and Science, Department of Mathematical Sciences, one or more PhD stipends/Integrated PhD stipends in inference and modeling of Quantum transduction processes
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the university The PhD programme does not offer any scholarship opportunities right now. However, the LMU offers divers funding possibilities. Please have a look at the LMU website: https://www.lmu.de/en/workspace
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly
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scientists, the direct PhD supervisor and a co-supervisor. BIGS DrugS aims at creating an optimal research and education environment for PhD students and provides support for a successful scientific career
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks