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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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, shared projects, and methodological training between Basel and London. The position offers an outstanding opportunity to actively shape and build the direction and profile of this newly founded laboratory
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, including student tutoring and seminars. You will organize at least one full-week excursion for students and PhD students to visit the most interesting objects on site. Profile You are holding a university
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-reviewed journals, and participating in international conferences. Your profile You are a highly motivated and dedicated candidate with a PhD in Engineering, Energy Systems, or a related field. You bring
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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Your profile We are looking for talented candidates with a doctoral degree and a background in microbial ecology, forest biology or something similar. Candidates are expected to have experience in
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profile We are seeking a highly motivated team player who thrives in a collaborative and interdisciplinary research environment. You should be ready to work independently and contribute to a vibrant
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of academic output. Presenting the project internally and externally, and preparing material for such presentations. Profile Mandatory Requirements: You have: Demonstrable experience with machine learning tools
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microscopy (QPlus AFM), integrated with electron spin resonance (ESR) capabilities. Your profile We are looking for a highly motivated experimentalist who meets the following criteria: PhD in Physics