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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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Professor level or above will also be considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will
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Professor level or above will also be considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will
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for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will be expected to engage in effective teaching at
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records of research excellence and academic leadership. In addition to pursuing a vibrant research program an appointee will be expected to engage in effective teaching at the undergraduate and graduate
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considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will be expected to engage in effective
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: Biomedicine and Pharmacology Developmental and Regenerative Biology Genomics, Proteomics and Bioinformatics Metabolism and Physiology Molecular and Cellular Biology Neuroscience Computational Structural Biology
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Scientific Diving Program through teaching and leadership roles within the program. The home campus for this position will be the Troth Yeddha' campus in Fairbanks, AK. UAF is Alaska's research university
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular