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or oceanography. Research background should demonstrate competence -- or at least a clear and strong interest -- in artificial intelligence and machine learning to be applied in the field of environmental sciences
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. Fujii, K. & Nakajima, K. Harnessing disordered-ensemble quantum dynamics for machine learning. Phys Rev Appl 8, 024030 (2017). 2. Rudolph, M. S. et al, Generation of High-Resolution Handwritten Digits
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or as materials for transportation. Intensive calculations within the framework of density functional theory (DFT) will provide the basis for building machine-learning models to explore the range
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the relationships between manufacturing parameters and battery cell performance. The collected data and the unraveled insights will be used to calibrate and validate pioneering physical and machine learning models
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into subtle effects in diboson channels and is expected to co-supervise a PhD student studying polarisation effects in diboson events, using machine learning techniques. The group has expertise in data
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academic knowledge of the field, evidenced by a PhD thesis in computer science, physics or computational biology/neuroscience - good programming skills in Python, development and evaluation of machine
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changeYears of Research ExperienceNone Additional Information Eligibility criteria PhD. Statistics skills, especially in extreme values theory and Machine Learning. Mastering English is compulsory. Mastering
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simulation or machine learning. Experience with HEP simulation with generative models would be a plus. Applicants must also demonstrate teamwork skills and an ability to fit in a multidisciplinary scientific
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innovative methods for processing and analyzing MRI images (3 Tesla and 7 Tesla) of various modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. The aim is
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traits, possibly through machine learning, and thus explore the functioning of pelagic ecosystems at a finer level than just community composition. Within the TraitZoo consortium, it will also be possible