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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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targeted to the project as a whole and/or the specific subprojects mentioned above The starting date is 26 September 2026 at the latest. Screening is part of the selection procedure About the department
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to learn, pro-active and responsible attitude, intellectual independence. Excellent command of English and Italian. Italian is likely to be needed as some projects will focus on Italy. Fluency in Spanish is
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predictive control of carbon mineralisation through high-throughput mineralogy and machine learning.” This is an exciting opportunity to contribute to innovative research at the interface of mineralogy
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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materials for quantum sensing applications, such as NV centers formed within diamonds. Specifically, spin characterization of color centers by electron spin resonance method, crystal processing to control
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Signal Processing for Detection
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for the conversion of biogas into high-value-added molecules. This position requires expertise in the synthesis of materials with controlled porosity and mixed oxides. The work will involve process optimization, and
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: - Development of programmable control elements for self-amplifying RNA (saRNA) therapeutics. - Regular mentorship meetings with the supervisor - Training in the new technique and workflows relevant
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to implement dynamic force control to achieve faster and more tests. The main part of the works of this post-doc position will thus consist in developing a sensorized (instrumented) tip that will