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of multimodal stress indicators for recognising and differentiating stressors Supporting the project management in international cooperation and coordinating the scientific interface with the project partners
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Description The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced X-ray and neutron scattering (m
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of single-molecule microscopy data in collaboration with theorists from other institutions YOUR PROFILE You should have obtained (or be about to obtain) a Master‘s degree (or equivalent) in Physics, Physical
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and
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committed to equal opportunity and diversity. The university aims to increase the proportion of women in research and teaching and therefore encourages qualified female scientists to apply. The hiring process
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researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration. Organic light-emitting diodes (OLEDs) are a popular class of semiconductor devices
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Requirements: very good or good university degree in physics, meteorology, fluid dynamics or comparable Description of the PhD topic: (subproject T7) In Urban air mobility, a high wind sensitivity of UAVs
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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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Your Job: This PhD project will be part of the Green ERA-Hub project AGROSOIL-Agrogeophysics for Sustainable Soil Management under climate extremes. With project partners in Ireland and Uruguay
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Profile: Required qualifications and skills: University degree (M.Sc. or equivalent) in chemistry, materials science, geoscience, physics or related field Experience in laboratory work, e.g. synthesis and