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Field
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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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of four substantive research pillars and a work package on knowledge transfer. This vacancy concerns a postdoctoral position within Pillar 4. You will work closely with the PhD candidates in the other
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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to the research project. Your qualities Ideally, your eligibility is exemplified by: a PhD in mathematics; prior experience in research high-dimensional probability theory (concentration inequalities, chaining
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at [email protected]. __________________________________________________________________________________________________ Your profile: * PhD or Master's degree in Mathematics or a related field
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of students. Candidates must hold a PhD degree in Mathematics or Theoretical/Mathematical Physics with Interest in interdisciplinary research, and with less than 5 years post-reciept of PhD. The ideal candidate
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/Qualifications We are looking for a researcher with a PhD in physics, astronomy, applied mathematics or a closely related discipline, completed before the starting date. Essential qualifications: The candidate
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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Position Description The new Collaborative Research Centre "Generalised Motivic Methods in Geometry" (DFG CRC 1785) at the University of Regensburg welcomes applications to PhD and postdoc positions
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bring: • An excellent PhD degree in Applied Mathematics or a closely related field with substantial training in rigorous mathematical analysis beyond the regular higher mathematics and numerical methods