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materials, functional precision membranes, optoelectronic and electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry
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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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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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biochemical techniques to study details of antigen recognition and effector functions of autoantibodies Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc
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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
of the structure and dynamics of macromolecules at the nanometer scale. This includes experiments at 1-nm resolution and with Angström measurement precision. Your qualifications Master’s degree in Computer
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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, Saarland University, RPTU Kaiserslautern-Landau Teaching language English Languages All courses are held in English. The working language at all participating institutions is English. Programme duration 8
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structure and allow for numerous specialisations. The Berlin School of Economics post-doc programme (Berlin School of Economics Research Associates Programme ) recruits its members from the international job
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work