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the complex physics of color centers, and developing technologies based on integrated photonic circuits for quantum applications. You will co-lead a team of talented PhD students within the ERC Starting Grant
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alternatives such as HBI, DRI, and scrap. These changes introduce new challenges in maintaining furnace stability, gas flow, and productivity. This PhD project focuses on developing and applying advanced
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group in the Department of Cognitive Robotics. You will be supervised by associate professor Luka Peternel and associate professor Jens Kober, and work with MSc students and PhD candidates in
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PhD in architecture, urban design, computational design, or a related discipline. Experience with integrated building models (BIM) and spatial analysis tools (e.g., GIS). A strong track records in
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projects and working closely with industry partners. This position is available for candidates who hold at least an MSc degree. Candidates without a PhD degree will be considered if they can demonstrate that
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. Completed a PhD degree in a highly quantitative and analytical discipline (electrical engineering). Very good command of English, in both writing and speaking. You enjoy performing research. You are
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so far and to sophisticate them and establishing a platform to achieve international guidelines. The postdoc will work closely with two PhD candidates. One of these candidates investigates
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We are looking for applicants who have or expect to receive a PhD degree before joining the project. Applications should have a relevant track record in multimodal machine learning, preferably in
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jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does not rely purely on common research metrics. The successful applicant will have: PhD degree in
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technologies for green steel production. For this position, we are expecting the candidate with the following qualifications: You hold a PhD degree in chemical, metallurgical or materials engineering. You have