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OSU | about 2 months ago
process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and
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process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and
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PhD, MSc, and BSc students and trainees in the group. Qualifications: Demonstrated experience working with mammalian genome-scale metabolic models and constraint-based modeling frameworks (e.g
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electric drive applications, covering topology and semiconductor selection, power stage, gate drive, PCB layout and magnetic component design. Develop and implement modulation and control strategies for
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PhD/Postdoc in In Vivo CRISPR Screening (Dry and/or Wet Lab) Ghent VIB Center for AI & Computational Biology PhD/Post-doctoral Posted Date 19 Oct 2026 Locations Ghent Center VIB Center for AI
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opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control Engineering, Computer Engineering, Mechatronics
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robust, sustainable products while improving design decisions, reducing risk, and ensuring product quality. The position may also be hosted within the Division of Systems and Control at the Department
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Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering
Job Description Are you interested in using machine learning to design proteins that respond to their environment and control biological function with high precision? We are looking for a postdoc for
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distribution grids, along with a PhD student who will be hired for this project. The second Postdoc is expected to lead activities on the development of Artificial General Intelligence methods for the
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systems, for programmable 2D assembly and ion-selective transport. Track B: Membrane Biophysics and Interface Assembly You will develop and control membrane interface platforms for 2D protein assembly