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Field
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, NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF
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screening radiologists and industry to develop new and improve existing methods and processes in screening breast imaging. Our direct connection with the Dutch Expert Centre for Screening (LRCB ) ensures and
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solar (thermal and PV) and geothermal energy with soil-based thermal storage to enable reliable 24/7 operation of adsorption desalination. We also develop low-cost sorption composites from locally
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variety of relevant biological systems. We are looking for a candidate, who • Holds a Master’s degree and a PhD in physics, biophysics, physical chemistry or a related field • Has several years
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objective of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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Internet of Things (Hardware, Node-red, JavaScript) Satellite Image Processing R&D and scientific dissemination Experienced in Portuguese/European research projects, minimum 3 years (Mandatory). Experience
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will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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comprises three PhD students and is supported by one technician, along with rotating students. The lab is located in the Biomedicine Department at the Faculty of Medicine (Campus Clinic) of the University