110 programming-"https:" "https:" "https:" "https:" "https:" "https:" "HFML FELIX" PhD positions at Technical University of Denmark
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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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Marie Skłodowska-Curie Actions (MSCA) Doctoral Network MicroMan4Health – Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https://www.microman4health.eu/ ). The
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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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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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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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ansættelsesvilkår i henhold til overenskomst for akademikere i staten. Se DTU's lønstruktur her: https://www.inside.dtu.dk/human-resources/under-ansaettelsen/loen/loenstrukturer Ansættelsesperioden er 3 år. Det er
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further information at https://endure.dtu.dk/ and https://cordis.europa.eu/project/id/101227649 . Responsibilities and qualifications Your overall purpose will be to develop, model, and validate a
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. Experience in LLM post-training and benchmarking/evaluation. Experience building agent harnesses and the software environments used to run and evaluate them. Strong Python programming and software
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the Horizon Europe Marie Skłodowska‑Curie Actions (MSCA) Doctoral Network ‘MicroMan4Health’ on Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https