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Field
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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person will adapt the screening procedure used by the team to mRNA screening. This may require not only adapting the reaction conditions, but also introducing additional chips, and possibly even developing
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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successful candidate will possess skills in natural language processing and deep learning. Experience of studying the robustness and generalisability of LLM would be beneficial. This is a full time post (35
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the application process, please contact our recruiting team at our phone number +49 (0) 331-6264-28787. This research center is part of the Helmholtz Association of German Research Centers. With
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alignments, data acquisition, image processing and structure calculation using a variety of cryo-EM software. The candidate should be comfortable using Linux. Strong written and oral communication skills in
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the application process. Please submit your application in English no later than 15th August 2025 under the following link Online application As soon as the selection procedure has finished, all application papers
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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
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with disabilities to apply. Qualified disabled applicants will receive preference in the application process. Please submit your application in English no later than 15th August 2025 under the following