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to which conventional manufacturing methods and materials can be replaced Assessment of the impact of additive manufacturing on material flows, resource demand, and energy systems Classification of additive
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of the applicant’s ability to successfully complete doctoral studies. Particular emphasis will be placed on: Academic qualifications and relevance of previous studies Experience with quantitative methods, modelling
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with historical archives and primary sources, digital text analysis, interviews, ethnographic methods. We are internationally oriented and welcome applicants with degrees from—and experience
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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that they can integrate it into their large-scale quantum computer system engineering models. SKILLS. Candidates must have a high-quality background in quantum information or quantum physics, and an
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resolution LiDAR mapping. Details: https://www.science.hr/jobs/218168/researcher-in-trajectory-estimation-… Where to apply Website https://www.science.hr/jobs/218168/researcher-in-trajectory-estimation
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and foster collaboration with industry partners, including leading funded projects and contracts. Where to apply Website https://talent.irta.cat/en/jobs/7352716-researcher-in-fertilization-and-biofert
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Master`s degree in crystallography, material science, physics, chemistry, or a related field You have an interest in scattering methods, solid-state materials and ideally also knowledge in the field
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creativity and ideas. The project offers preferential use of Liseli Decision Lab, an online and offline participant pool in Zambia with thousands of participants. The research methods may include online, lab
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19 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile