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of 1098Ts. This position will ensure student accounting objectives are met and controls maintained while managing a customer-centric team. This team of individuals support multiple functions and
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theory, mathematical finance, or optimization and is capable of actively contributing to research projects in these fields. The contract start date is flexible, beginning as early as March 1, 2026
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 12 days ago
Biochemistry, Molecular Biology, Chemistry, Biotechnology, Biophysics or related for the preparation of a Master's thesis for a duration of 6 months. The topic of the thesis is “Optimization of DNA Synthesis via
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of autonomous flow reactors for chemical synthesis. The project aims at 1/ developing a new optimization Bayesian algorithm and 2/ improving the process-control software already developed in the team
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to optimize the financial viability of the Gift Shop and retail program. Researches new products and vendors to create intrigue, to inspire, and to provide for needs of customers. Tracks and trends and
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planning, uptime, and product release reliability. Set and enforce standards for scheduling, preventive maintenance, deviation management, change control, and batch record integrity. Optimize end-to-end
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of the applicant. Relevant aspects may include but are not limited to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies
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hardware development and system-level optimization. Where to apply Website https://www.academictransfer.com/en/jobs/356825/postdoc-position-on-power-elect… Requirements Specific Requirements PhD in
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advancing the state of the art in solar energy concentration, optical–mechanical system design, control and tracking mechanisms, and thermal performance of high-flux components. Responsibilities include
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to turn partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control; Identifying pathways towards the integration of domain knowledge about MRI