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, Cosmology , Experimental or Theoretical Physics , GR-Cosmology (gr-qc) , Gravitational Physics , Gravitational Waves , hep , HEP-Phenomenology (hep-ph) , HEP-Theory (hep-th) , Particle/Cosmology Theory
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density functional theory (DFT) and many-body perturbation theory (MBPT) based methods, in order to predict photophysical properties of novel semiconductors. The theoretical and computational predictions
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
, experience in materials modeling (experience in transport theories and ab initio methods would be a strong advantage). We offer: work in a promising organization, salary evaluation according project conditions
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Details Title Postdoctoral Research Positions in Condensed Matter Theory at Harvard University School Faculty of Arts and Sciences Department/Area Physics Position Description Postdoctoral Research
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assigned. 2. Prepares research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial
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, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO
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to program functionality. The Fellow will also serve as the central hub for various operational, personnel, programmatic, and financial matters for the project. Successful candidates will possess an ability
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/2026 Location: Warsaw, Poland Salary: approx. PLN 10,889.50 gross/month (approx. PLN 8,041 net/month) Number of positions available: 1 Work Arrangement: Hybrid The role is available from 2026-07-01
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prehistory. Work is carried out primarily within the discipline of historical linguistics with a strong emphasis on methods of digital humanities, but other aspects of linguistics such as syntactic theory
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. Richard Nickl and work in the project area 'Statistical aspects of non-linear inverse problems', which broadly addresses mathematical and foundational challenges in contemporary data science and the theory