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hold (before start-date of the position) a PhD degree in computer science (or a closely related field) Proficiency in English is required. Research-wise, strong expertise in combinatorial optimization
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researchers with PhD in one of the following fields: electrochemical engineering; chemical engineering; materials science; battery science; computational materials science; applied physics; mechanical
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of gene therapy manufacturing and process innovation. The project focuses on the development and optimization of scalable bioprocesses for viral vector production and downstream purification and
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range of complex optimization problems. The ideal candidate holds a PhD in Operations Research, Computer Science, Applied Mathematics, or a related field, and has a strong background in mathematical
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of the produced powders and films: SEM/EDS, TEM, XRD, ICP-OES, EBSD, etc. Correlate material morphology and composition with final TE material and device performance. Develop TE devices optimized for both energy
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optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, our SW Simulators, and our facilities. For further information
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operating procedures (SOP), build capacity at the KZN sequencing facility by train staff members in the development and implementation of the optimal sequencing workflows at the KZN laboratory. You will
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team in Amsterdam will be critical, thus good communication and organization skills are warranted. The candidate will contribute to PhD supervision, and closely collaborate with the wet lab team
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization