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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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Mentoring graduate students Your profile: PhD in Ecology or a related field Solid background in (macro-) ecology and biodiversity research. Solid background in zoology preferred but not essential. Advanced
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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multidisciplinary teams to link mechanistic insights with global carbon cycle assessments Your Profile PhD in physics, oceanography, or a related field, with expertise in mechanistic modeling of biogeochemical
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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the change! We support you in your work with: Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers A creative environment
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grant proposals. Participate in the preparation of publications in top peer-reviewed journals. Your profile PhD level in a relevant field (Neuroscience, Physiology or similar). Strong experience in
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital