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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 12 days ago
applications in information technology and are based on electrical, magnetic or optical functionalities. The Department of Semiconductor Materials is looking for a PhD Student (f/m/d) Silicon Quantum Photonics
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, characterization, and identification of compounds (e.g. phenolic compounds, biopolymers) from food matrices (e.g. liquid chromatography, low-pressure liquid chromatography, mass spectrometry, NMR, gas chromatography
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, mechanical, electrical, systems engineering, or another discipline relevant to research aircraft systems, airborne science infrastructure design and certification, or aircraft modification programs. A PhD in a
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also be expected to carry out physicochemical analyses to assess the stability and quality of treated substrates (e.g. pH, electrical conductivity, water retention capacity, textural assessment, organic
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the contract. Activity Outline: This work comprises the laboratory characterization of mixtures of steel slags, ground rubber from end-of-life tires, and natural aggregates. In the mixture characterisation
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to candidates with experience in the fabrication and characterization of naturally layered materials and their exfoliation processes, as well as in the production and characterization of nanodiamonds
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and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26
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to various tasks that involve the updating and development of new formulations with low-Portland cement binders for 3D printing mixtures; the characterization and optimization of mortars and concretes for 3D
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participate in the identification and characterization of real-world optimization problems, the definition of key performance indicators, the development and validation of advanced computational models, and the
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their daily travel needs by local trips in practice and to understand current barriers to meeting sustainable travel objectives; Contribute to the development of a modeling environment that allows