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challenges in human-health and industry, and iii) generate large-scale enzyme datasets for training next generation protein design models. Jérôme Zürcher – The Zürcher group aims to develop methodology
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time of appointment. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES
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discipline The ability to independently design and execute experiments and interpret data Expertise in at least one of the following areas: Super-resolution imaging, including Stimulated Emission Depletion
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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from Physical Review Letters. Some of our works are highlighted by globally prestigious journals including Nature. More information, please refer to our website. This will be a great opportunity to join
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potential possibility for extension. Job description You will be part of a large interdisciplinary consortium project studying the effect of pesticides and environmental toxicants on the development
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely
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ongoing ecological collapse of photosymbioses. To achieve this, PhagoPhoRe builds on a large network of collaborators across the HIFMB, Germany, France, Czech Republic, and Switzerland. Your TasksAs a