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, they are difficult to scale, maintain, and align with regulatory DPP requirements or evolving product configurations. Research objectives The objective of this PhD project is to design DPP data
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, etc.) in the Netherlands for more than 12 months in the 36 months immediately before their recruitment date. Where to apply Website https://www.academictransfer.com/en/jobs/363258/phd-in-design-of-next
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 2 months ago
) for Functional Material Design in Summer 2027! We are recruiting doctoral candidates to help shape a resource-efficient future. The candidates will work on individual projects exploring how we can learn from
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the interface between the classical and quantum worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability
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at different timescales, exploring trade-offs between different design choices, quantizing the models, and implementing the best-performing ones in custom digital hardware, on FPGA and/or in an application
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process for PhD students. Where to apply Website https://www.academictransfer.com/en/jobs/362809/phd-position-in-ic-design-group… Requirements Specific Requirements You are highly motivated and an
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https://www.academictransfer.com/en/jobs/362563/phd-position-in-design-integrat… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362563/ Work
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. The candidate will be hosted within the Molecular Chemistry and Macromolecular Materials (C3M) department at CNRS-ICMPE, a multidisciplinary research environment dedicated to the design and synthesis of advanced
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Conditions of employment Our PhD projects are fully funded and salaried positions, meaning that appointed PhD candidates are employees (promovendi) of Erasmus University Rotterdam (EUR). Salary and benefits are in accordance with the collective labour agreement for Dutch Universities (CAO-NU)....
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions