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Field
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 6 days ago
cell populations using appropriate laboratory and analytical approaches, participate in scientific discussions, research meetings, publications, and presentations. Day-to-day training in technical and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. Within Analytical Pathology (AAP) at Helmholtz Munich
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), applied statistics and/or machine learning on omics data; an interest in translational research and biomarker development; strong analytical and problem-solving skills and the ability to work independently
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, reports and other deliverables; good analytical, writing and presenting skills; fluency in English, both written and spoken, and the willingness to learn Dutch (in case you are not a Dutch native speaker
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analytical and problem-solving skills; excellent written and spoken English; the ability to work independently as well as collaboratively in an interdisciplinary research team. Additional qualifications
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address this multidisciplinary topic using state-of-the-art analytical techniques and data processing and analysis, guided by the highly qualified support staff at IBED. Together with your supervisors, you
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monitoring, sensing systems, instrumentation, or transportation infrastructure analytics. Experience working with data-driven technologies such as sensor networks, machine learning, or AI-enabled