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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
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NMBU finnes på www.nmbu.no Where to apply Website https://universitypositions.eu/jobs/523633234-phd-position-within-causal-machin… Requirements Research FieldEngineeringEducation LevelMaster Degree
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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(IIoT) sensors, real-time data analytics, machine learning algorithms, and Digital Twin technologies to monitor equipment health, predict failures before they occur, and recommend optimal maintenance
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theory, physics-based simulation, and machine learning. Job description The PhD project will develop machine-learning methods for atomistic materials modeling Possible research directions include machine
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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of Italian Studies. Where to apply Website https://uzz.unizd.hr/euraxess Requirements Research FieldLanguage sciences » PhilologyEducation LevelMaster Degree or equivalent Skills/Qualifications Applicants
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Position Description The LHC Physics Center (LPC) at Fermilab (https://lpc.fnal.gov/ ) seeks applications for CMS LPC Distinguished Researchers (DR) in both the Senior and Junior category