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Field
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to academic credentials. Required qualifications: MSc or similar in experimental particle physics, semiconductor physics, electronics or detector instrumentation In-depth knowledge and experience
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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electron microscopy (4D-STEM) techniques. The Research Associate will design and execute in-situ experiments under liquid nitrogen and liquid helium conditions, including developing the hardware and
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PhD Scholarship (iPhD) Program is an industry-focused, applied research scholarship and training program that brings together an industry partner, the university and CSIRO. You will undertake a co
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. Understanding of relevant methods, debates and literature for the study of biopolymers. Effective communication skills, both written and verbal, including by email, teleconference, and in-person meetings
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dissemination, and to collaborate with colleagues, as well as develop proposals for new research projects. Minimum Requirements A PhD in a relevant field (International Relations, Political Science, Anthropology
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theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics and PhD students, and communicate your research at national
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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-disciplinary teams, assist in supervising undergraduate, MSc and PhD students, submit publications to refereed journals and attract external research funding. What we are looking for: Applications are welcome