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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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Physics, Particle Physics, or Quantum Field Theory; experience in the use of numerical and symbolic algebra methods. Desirable requirements: Experience in nonperturbative methods of Quantum Field Theory
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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networks, from a machine learning and information theory perspective. How to apply Applicants should submit: (1) Curriculum Vitae; (2) Cover letter describing research experience and interests; and (3
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speculative articulation, with a special focus on the philosophy of art, insofar as it articulates art history, art criticism, and art theory. In this sense, it is important to relate Hegel to his time, the so
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applied to genome and/or transcriptome analysis; iii) Familiarity with Linux environments, command-line tools, and the execution of computational pipelines; iv) Experience in at least some of the following