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. The current focus is on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine
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qualifications: • A solid background in bioinformatics, mathematics, computer science, computational biology or similar fields. • A good understanding of basic immunology as well as T cell and TCR biology will be
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: The successful applicant must have the following: • High motivation, curiosity, and commitment to scientific excellence • Ph.D. in computer-science, applied mathematics, data-science, theoretical chemistry
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preparation. Key responsibilities: Working with brain tissue in collaboration with Neurosurgeons and Neuroanatomists Developing the technology chain and processing pipeline for the Invasive Brain Machine
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics
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domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics, Engineering, Chemistry, Physics or a similar subject. Most importantly, you should be