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applications, from coating and repair to additive manufacturing. Consequently, the topics for theses and project work are equally diverse. Currently, we have openings in programming, process optimization, sensor
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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solution to conventional cell connection methods, such as welding Independently develop creative ideas for new battery module designs Optimize the connection for low contact resistance, vibration loosening
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are diverse and adaptable - for applicants with disabilities, we work together to find solutions that optimally promote their abilities. The same applies if they do not meet all the profile requirements due
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well as the optimization of laser systems in the NIR, SWIR, MWIR, and LWIR ranges for different application fields. A particular emphasis is placed on high-power fiber lasers in the 2-µm wavelength range. More information
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Master-Thesis: Machine Learning-based Heating Curves for Heat Producers in District Heating Networks
. Compared to the SoA operation utilizing static heating curves, optimization-based predictive operating strategies (OBPOSs) promise better performance. However, a very limited degree of digitalization in many
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technologies using beamforming, as well as operation in higher frequency ranges. Further topics of relevance can include Wider bandwidth with operation in the 6GHz band or above Optimized MU-MIMO technology and
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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic
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English and German Our Offer: We work on highly topical, socially-relevant issues and offer you the opportunity to actively shape change! We offer you optimal conditions for the successful completion
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scientists, the direct PhD supervisor and a co-supervisor. BIGS DrugS aims at creating an optimal research and education environment for PhD students and provides support for a successful scientific career