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working in the development of gene therapy strategies for neurological paediatric rare diseases using AAV vectors, animal models and iPSC-derived neurons from patients, with the aim to arrive to clinical
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models to support strategic and operational decision-making. This role partners closely with the Business Services Controller’s Division to ensure a strong controls environment, execute financial
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of Engineering Systems and Services of the Faculty of Technology, Policy and Management has joined the National Growth Fund program Growing with Green Steel (GGS, https://groeienmetgroenstaal.nl/en/ ), which aims
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quantum chemistry (DFT) and control engineering. PhD position in chemical reaction engineering (Kinetic modeling & thermal runaway) Supervisors: Sébastien Leveneur (sebastien.leveneur@ircelyon.univ-lyon1.fr
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
controlled release systems is preferred Experience with microneedles, transdermal systems, or additive manufacturing Experience with CLIP or vat polymerization-based 3D printing Familiarity with analytical
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degree in lieu of two years of experience). Or, an equivalent combination of relevant education and/or experience. Exposure to simulation modeling or virtual clinical trial frameworks. Familiarity with
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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that use alternative input features. This will empower data scientists with knowledge that will allow them to control the trade offs between model's complexity and the expected efficiency of the model when
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and