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-474 Marie Curie Grant Agreement Number 101122653 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with
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line with relevant standards Computational optimization of developed tools for commercial integration Integration of surgical complexity predictions Interacting with clinical and industrial partners
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. You are proficient in the development, training and application of machine learning models and have expertise in the use of scikit-learn, Keras and Tensorflow for model construction and optimization
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in
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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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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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production processes, notably focusing on optimizing growth conditions and improving overall process sustainability. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in bio-engineering, biotechnology
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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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to optimize workflows and procedures. Profile We are seeking a highly motivated, efficient, energetic and optimistic senior bioinformatician at postdoc level, with a strong interest in aging and