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probing experiments Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part of your profile: A PhD degree in
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specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by establishing the structure-property relationship
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. Project Food allergy is a major public health issue worldwide. Patients present with variable clinical profiles, disease progression and severity, which is part of the unpredictable nature of food allergy
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To strengthen our team in the division “Inorganic Trace Analysis” in Berlin-Adlershof, starting for the next possible date, we are looking for a Postdoctoral Researcher (m/f/d) in the field
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integration implementation of machine learning in data analysis development and implementation of custom data analysis pipelines manage your own projects and work on various data analysis projects
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 minutes ago
involved with advanced independent biomedical research, including project development, experimental design and performance, data analysis, written progress and manuscript generation, management of lab
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data analysis methods. The PDR will work in close collaboration with LCLS-II staff and eXn graduate students. Experimental results will be interpreted in an interdisciplinary environment including
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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lab, assisting in the development and execution of research projects related to the production and characterization of multivalent DNA origami nanosensors. This role requires analysis of data collected
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization