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interpret nanoparticle restructuring, vibrations, and surface dynamics Develop and apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between
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programming skills in Python and/or C++ Have experience with robotic software frameworks and simulation environments Demonstrate the ability to conduct independent research and publish scientific results Have
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inversion methods in python You must have in MSc in Mathematical Modelling and Computation, Earth and Space Physics or a related subject You must have a two-year master's degree (120 ECTS points) or a
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modelling, inverse methods, and scientific programming in Python You must have a MSc in Earth and Space Physics or a related subject You must have a two-year master's degree (120 ECTS points) or a similar
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here: https://horizon-ahead.eu/ As a Postdoc, you will: Quantify the flexibility potential of public and private EV charging hubs, including light- and heavy-duty vehicles. Investigate synergies
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reflectometry. Experience with ray-tracing simulations (for instance McStas or McXtrace) and/or wave propagation simulations (for instance multislice). Experience with data analysis performed using Python or
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requirement) In addition, you should have basic programming skills (e.g. Python, Julia) and an excellent command of English. You must have a two-year master's degree (120 ECTS points) or a similar degree with
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the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with large-scale facilities such as MAX IV, ESS
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and natural history. This role is part of the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with
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Marie Skłodowska-Curie Actions (MSCA) Doctoral Network MicroMan4Health – Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https://www.microman4health.eu/ ). The