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Your Profile: An excellent master’s degree with strong background in nano science, materials science, chemistry, chemical engineering, physics or related Experience with modeling of reaction kinetics
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Assistant (Doctoral Candidate) with specialising in multimodal imaging (salary scale 13 TV-L, 65 %) The fixed-term position is for a duration of 36 month in accordance with the project duration. Your role In
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atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud microphysics. The focus is on both process-based studies and long-term observations, with which we contribute
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neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry, to large-scale functional imaging of brain
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 3 months ago
activity of the vast numbers of interconnected neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry
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Your Job: We are offering a PhD position dedicated to the advancement of cryo-EM image analysis methods at the interface of Structural Biology and Electron Imaging at the Forschungszentrum Jülich
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
on next-generation MINFLUX optical instrumentation. Your qualifications Master’s degree in Physics, Biophysics or similar Ability to work independently and within a team Attention to detail and high level
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for calculation and design Design and optimization of a flexible oxygen supply Optimization of the pilot plant based on test and simulation results Development of design and process engineering solutions
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, you need to develop and apply methods that enable the recognition of phenological stages of allergenic plants on images. Then, the phenological development of these species shall be modelled based