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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive
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. Contribute to Europe’s photonics ecosystem through involvement with PITC, JePPIX, and Chips for Europe initiatives Where to apply Website https://www.academictransfer.com/en/jobs/358372/phd-on-compact-models
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
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to the supervision of PhD and/or Master’s students. Foster and sustain meaningful collaborations across local and national networks, including academic disciplines, professional sectors, relevant industries, and the
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of artificial intelligence, including statistical/machine learning theory, optimization, and deep learning. Successful candidates must have a strong record of research and teaching and should complement
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, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities
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Human-centric Digital twins for monitoring robotized biostimulants application practices. University Milan (IT) & Université Libre Bruxelles (BE) Position E Optimizing Images Quality and Deep Learning
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scientific training—particularly at the PhD level—who is passionate about translating immunology and assay development into meaningful patient care. Prior experience with CAP, CLIA, or GxP regulations is
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. Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to
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achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3