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procedure, … Where to apply Website https://www.academictransfer.com/en/jobs/349224/phd-machine-learning-for-energy… Requirements Additional Information Website for additional job details https
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research area. Prior experience working with Neural Radiance Fields or Gaussian Splatting. Prospective applicants should have a strong academic record with a solid background in Machine Learning (Deep
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strong academic record with a solid background in Machine Learning (Deep Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills
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the power of data and machine learning! Job Description We are seeking a highly motivated PhD candidate to join our research team focused on Collaborative Metadata Management for Large Data Repositories
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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, computational fluid mechanics, high-performance computing, and physics-informed machine learning. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty
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physics-based computer models. Impact: Evaluate knee joint laxity and then optimize surgery and treatment to reduce laxity while permitting natural range of motion. We are seeking a PhD researcher for a 4
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that promote positive collaboration among them. To achieve this, the PhD project will develop customized agent-based models using reinforcement learning. These models will help map out agent interactions and
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-deficiency. The hybrid model will combine features of machine learning and statistical models with those of physiological and quantitative genetic models. The PhD candidate will study the available physiology
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frameworks like RHEOS software, FEM models and machine learning concepts for large data sets generated will be explored with collaborators. Micro and Nano Engineering This position is embedded within