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the Research Group “Nonlinear Optimization and Inverse Problems” (Head: Prof. Dr. D. Hömberg) starting as soon as possible. The project is part of a BMBF project concerning industrial scale data preparation
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Implementation, further development and adaptation of AI models and research prototypes for the annotation and scoring of text data, in particular for the optimization of AI-supported teaching and learning in
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description: Development of new thin film processes (via MOCVD and ALD) for the growth of metal, metal oxides, metal sulphides and metal nitrides Optimization of deposition processes to enhance the functional
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processes (via MOCVD and ALD) for the growth of 2D materials Optimization of deposition processes to enhance the functional properties (electronic, optical, magnetic, catalytic etc.) Comprehensive analysis
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
Overview: ALD Process Development: Design and optimize novel ALD formulations for transi-tion metals, as well as modify existing ALD processes, in collaboration with our re-search partners. A particular
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processes (via MOCVD and ALD) for the growth of 2D materials Optimization of deposition processes to enhance the functional properties (electronic, optical, magnetic, catalytic etc.) Comprehensive analysis
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chemistries. Project description: Development of new thin film processes (via MOCVD and ALD) for the growth of metal sulfides and metal nitrides Optimization of deposition processes to enhance the functional
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institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics in general. Mobile working A certified (Audit berufundfamilie) family-friendly work environment