224 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs), calculus of variations, optimal control, who is willing to engage in innovative
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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scattering experiments Conduct and disseminate world-class research via publications and conference presentations Represent and actively work on increasing the user base at MLZ Your Profile: A Master and PhD
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at Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data
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. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 13 days ago
to the development and adaptation of new protocols and techniques including quality control, troubleshooting and routine upkeep. Your qualifications The qualified candidate must have a PhD and will become a member of