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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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R and experience with statistical analysis, machine learning methods, and high-performance computing. What we offer As well as the exciting opportunities this role presents, we also offer defined
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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to continuous improvement efforts within the department, all while seeking guidance and feedback from leadership. This position is ideal for individuals who are detail-oriented, eager to learn, and committed
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machine learning models for the diagnosis of temporomandibular disorders (TMD) based on jaw motion time series data. Moreover, the successful candidate will be affiliated with the Comprehensive Center AI in
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willingness to engage in interdisciplinary cooperation as well as cooperation with existing research groups in mathematical physics, dynamical systems, data science, machine learning, control theory
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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environment with a strong emphasis on curiosity driven research. We are a collaborative and interdisciplinary team and there is ample opportunity to learn new techniques and be involved in exciting science
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world-leading in the development of a specialised facility that will optimise organs for transplantation using machine perfusion to improve marginal organ utilisation and expand equitable access
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results relevant for immuno-oncology and cancer immunotherapy. Eventually these analyses pipelines will drive creation of new immune landscape scoring metrices via state-of-the-art machine learning