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compared to numerical data (UU), and field measurements, obtained from Orsted. The goal of the team is to identify and model the entrainment processes which ‘replenish’ the kinetic energy deficits generated
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; • Extensive knowledge of solar flare physics; • Extensive experience in the analysis of astronomical data (images and spectra) from X-ray and UV/EUV instruments; • Documented experience in designing Bragg
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-on experience in analytical techniques (e.g., biochemical assays, advanced Imaging technologies, Immunological and toxicological assays) Experience with genetically encoded delivery vehicles Your Personal
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and
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an interdisciplinary academic team Preferred Qualifications • Experience with radiating component development from initial concept to prototype validation. • Familiarity with satellite communication system
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier). The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics, statistics
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/edge processing and device design within the broader project team This position involves close collaboration with researchers at Argonne National Laboratory and Northwestern University as part of the BIA
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analytical chemistry and mass spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and