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, computer science/data science/statistics, physics, mathematics, environmental sciences, geophysics or similar. Candidates must have submitted and defended their Master’s degree before the starting date. Foreign
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to establishing an academic career in nuclear science or engineering. You will be responsible for: Plan, develop and conduct world-leading research Win external funding for research Supervise postgraduate and
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ambition in their ideas, and want to develop potentially transformative, high-impact research. The Fellowship is an excellent stepping stone to establishing an academic career in nuclear science or
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research in accordance with the Institute’s scientific research program, publishes results of scientific and development research, participates in scientific training, works on the improvement of scientific
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and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
(UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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-superalloys” (https://doi.org/10.1016/j.scriptamat.2025.116761 ) to achieve top scientific outputs (e.g. Ti https://doi.org/10.1016/j.scriptamat.2017.06.038 , W https://doi.org/10.1016/j.apmt.2021.101014 , Fe
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Doctoral Network that prepares 15 doctoral candidates to transform how chronic inflammatory diseases are understood and treated. HARPNET’s scientific programme is integrated across three scientific work
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Reconstruction of Integrated Signaling, while also contributing to broader group activities working at the interface of biomedical data science, systems biology, computational toxicology, and regulatory science
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group