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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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architectures. You will be seconded to the Technical University of Munich during the project. The contributions will include: Conducting cutting-edge research in IoT and Wearable Systems, Communication, Sensing
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systems and PtX technologies. Engage with the Scientific and Industrial Community: Actively participate in relevant academic and industrial networks. Attend events, workshops, and technical forums
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properties of drugs and drug targets. We work as part of a dynamic academic community of research, education and innovation within the Pharmaceutical Sciences bridging Health Sciences and Life Sciences
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loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
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organizational skills. Good communication skills and willingness to work independently as well as to collaborate with your colleagues and peers. Commitment to complete the PhD coursework (30 ECTS points) and
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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with many opportunities for professional development and global networking. Responsibilities and qualifications We are seeking a PhD student with background and interest in enzymology, molecular biology
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the fabrication of robust artificial quantum superlattices that have never before been realized. Joining our dynamic, international research community, you will gain unique, high-demand competencies in quantum