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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods
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Qualifications You should hold a PhD in structural biology, glycobiology, biochemistry, or a related field. Experience with X-ray crystallography, protein production and purification, cloning, mutagenesis, and
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. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related area. Preferred Knowledge, Skills, and Abilities: Experience in the field
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presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Theoretical or Computational Chemistry or related area
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, along with an aptitude for developing new experimental techniques that relate to this exciting research program. To be successful with your application, you will need to demonstrate: An awarded PhD in
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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innovation. About You Knowledge, Experience and Qualifications You should hold a PhD in structural biology, glycobiology, biochemistry, or a related field. Experience with X-ray crystallography, protein
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adapt methods for electronic structure theory Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent
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preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related