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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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. Working Language is English Experience with an analytical tool (R is the preferred language but equivalent languages are also fine). Personal attributes and competencies Excellent analytical and innovative
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-edge sensors with current computational tools and machine/deep learning. As a Postdoctoral Researcher, you will be a key member of our team responsible for designing the seamless integration
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related field. Strong knowledge of cryptography, algorithms, or information security (knowledge of post-quantum cryptography is a plus). Excellent analytical and problem-solving skills. Interest in
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, or information security (knowledge of post-quantum cryptography is an asset). Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with