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Field
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) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from
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Pohang University of Science and Technology (POSTECH) | Republic, Kansas | United States | about 2 months ago
research funding may be provided - Other employment conditions will follow university regulations 6. Selection Process - 1st Stage: Document screening (results notified individually) - 2nd Stage: Interview
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thin film deposition is preferred. Advanced image processing and analysis skills. Experience with micromagnetic simulation is preferred. Ability to work independently as well as in collaboration with a
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medicinal chemistry with expertise in computer modeling and mutagenesis; and/or Pharmacology with expertise in PD/PK and biochemical analysis; and/or Structural biology with expertise in crystallography
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conferences. Building on your existing skills, you will be expected to develop additional expertise in thin film materials processing and characterisation, gain new skills, and confidently place our research in
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of 2025. As the experiment moves into full-scale physics operation, JUNO offers outstanding opportunities for early-career researchers to play leading roles in forthcoming high-impact discoveries. IHEP is
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AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely