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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. lt develops innovative solutions for the world's most pressing issues. In research and academic
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passionate about research and eager to develop your scientific expertise, we encourage you to apply! Requirements: The ideal candidate should possess a strong background in organic/bioorganic chemistry and a
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research expertise while also developing their clinical skills. Receive exceptional training for a successful career in research, clinic, and academia! Structured curriculum: Core Courses | Lecture Series
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, which will develop a novel form of phage therapy. The successful applicant will have a strong background in microbiology and infection biology. Experience in bioinformatics as well as working with BSL2
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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-molecule fluorescence microscopy. The candidate will also contribute to the development of novel microfluidic techniques. The ideal candidate should demonstrate a strong commitment to collaborative and
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches and the generation of mathematical models to the development of new
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to healthcare. CAUSE aims to make digitally controlled systems self-explaining for the benefit of developers, operators, interoperability and other systems. CAUSE is a research, education and networking hub
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In