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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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The opportunity to establish your own junior research group, including a newly created PhD position" (75% E13 TV-L). The team will also include a technical staff member responsible for maintaining the TüDiLab and
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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development and perform moderate teaching duties. Applicants are required to hold a PhD in physics or an equivalent doctoral degree. Applicants should provide a curriculum vitae, a list of publications, a brief
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degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge of the structural characterization of matter primarily with neutron and X-ray scattering
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of improved genetically encoded hypoxia reporters REQUIREMENTS: The candidate must hold a PhD in life sciences (obtained no longer than 3 years ago) A strong interest and experience in confocal and / or
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tools Supervising and guiding Master and PhD students Active participation in project meetings and events Presenting and publishing the research on an international stage Your Profile: As part of our
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful