106 machine-learning-"https:"-"https:"-"https:" "Newcastle University" PhD positions in Netherlands
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PhD position: Develop Hybrid Machine Learning for Global Soil Mapping Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 13 hours ago
matter phenomenology. GRAPPA is the center of excellence in gravitation, astroparticle physics, and cosmology at the University of Amsterdam, located at Amsterdam Science Park, with a lively seminar
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reactions. (2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University Eindhoven and will lead a project on designing
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researchers across the ACT to identify emerging theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating
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open to researchers in all fields of experimental and theoretical physics. At the Institute of Physics (IoP) at the University of Amsterdam, we recognize diversity fosters creativity and innovation
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Information Sciences (iCIS) at Radboud University in Nijmegen. iCIS conducts world-class research in machine learning, software science and digital security, and consistently ranks among the top
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will work within an international consortium consisting of: · University of Twente · Assistive Innovations B.V. (<https://www.assistive-innovations.com/>) · Re:Lab s.r.l
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information systems. The work sits at the boundary of machine learning and quantum computation, addressing how quantum devices can remain robust and reliable when operating under real-world noise conditions
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primarily focus on computer vision and machine learning. You will develop and evaluate AI-driven visual speech recognition models and contribute to their integration into a smart-glasses prototype. The
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plant growth, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning