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research and development work after obtaining the doctoral degree. required competencies PhD in chemistry, physics or a related field Very good knowledge of computational and theoretical chemistry Knowledge
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arithmetic complexity. Topics may include Arakelov geometry, birational and Calabi–Yau geometry, analytic torsion, and related height-theoretic or intersection-theoretic ideas. More details on the project
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to candidates who have prior experience with modular Lie superalgebras. Candidates must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge
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dimensions • Soft matter and the physics-biology interface The first area covers both experimental and theoretical studies relating to the properties of systems in which electronic correlations are generally
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both natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The
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) the theoretical development, and ii) empirical application of procedures to correct for the measurement error and underreporting in IPD-MA. Qualifications/ Requirements A statistician/ biostatistician with
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. Applicants must have a PhD in theoretical high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics (Prof. Dr. Helmut Grubmüller) is inviting applications for a PhD
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical