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and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics. We are currently looking
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of Physics, Mathematics, and Biology of the University, and non-university research institutions in Göttingen, such as the German Primate Center and the Max Planck Institutes for Multidisciplinary Sciences and
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, known as CMUTs. This technology enables, for example, the improvement of sonography heads for medical ultrasound. Our team of 6 colleagues is now looking for reinforcement in the field of MEMS design for
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) development of medical devices. The EKFZ relies on a close interdisciplinary collaboration between the University Medical Center Göttingen, the faculties of Physics, Mathematics, and Biology of the University
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and 5) development of medical devices. The EKFZ relies on a close interdisciplinary collaboration between the University Medical Center Göttingen, the faculties of Physics, Mathematics, and Biology of
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plant and mathematical modeling to determine the benefit of root phenotypes for stress tolerance. Report your work in scientific journals and oral presentations. Your qualifications and skills: You hold a
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; Max Planck Institute for Human Cognitive and Brain Sciences | Leipzig, Sachsen | Germany | about 22 hours ago
research. Educational background could be from cognitive (neuro)science, psychology, medicine, neuroscience, computer science, engineering, physics, or mathematics. Excellent programming skills (Python
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processing, 3D scene reconstruction and analysis for digital and immersive media as well as medical technology and industrial applications. Become a part of our team and join us on our journey of research and
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learning models Analysis and preprocessing of different data types, mostly medical data Applied science in exciting projects Preparation of presentations Review of relevant literature and data Testing
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members Your profile Doctoral degree in Statistics, Mathematics, Data Science, Computer Science or a related field with a strong background in Statistics Hands-on experience in Statistical Modelling and/or