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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 12 days ago
metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Process Metallurgy is looking for a PhD Student (f/m/d) Development
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 13 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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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%) doctoral scholarship student in the field of electrochemical engineering. Position You will work actively on the preparation and defence of a PhD thesis in the field of electrode and reactor engineering
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) Proficiency in the Portuguese language, unless the candidate is a native speaker of Portuguese. e) copy of the enrolment for the PhD in the academic year 2026/2027 or copy of the enrolment in a non-academic
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. The primary objective of the work is to develop new solutions for the sustainable preservation of heritage materials, such as stone and mortar. These solutions will be developed using nanotechnology and
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applications for 1 research grant (Master’s Degree), enrolled in PhD or courses that do not confer academic degree, within the framework of project with the reference LA/P/0095/2020, financed by Foundation
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; Experience in the application of analytical techniques for the characterisation of historical and archaeological metallic materials, namely X-ray fluorescence (XRF) and multi-collector inductively coupled
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This project aims to develop novel glass fibre reinforced polymer rock bolts using glass waste materials in collaboration with leading industry partners. The project will be supervised by Prof Ali
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available in the further tabs (e.g. “Application requirements”). Programme Description Artificial intelligence precisely sorts valuable raw materials, collection robots remove waste from the environment