81 machine-learning-phd PhD positions at Università degli Studi di Napoli "Federico II" in Switzerland
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, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and
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by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Machine Learning Seismology The Swiss Seismological Service (SED
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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure. The project focuses on learning the effective behavior
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The Data-Driven Mechanics Laboratory is seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure
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The University of Basel (Prof. Aurelien Lucchi) and IBM Research Zurich (Dr. Stefan Woerner and Dr. David Sutter) are seeking applications for a PhD position in Quantum Machine Learning
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at ETH Zurich. Our mission is to accelerate chemical discovery using digital tools. We predict chemical reactivity and molecular properties using the tools of machine learning, computational chemistry, and
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). The PhD dissertation project will focus on how to experimentally capture hypothetical ductus (stroke order and direction of writing) reconstructed by experts and to design deep learning pipelines as
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) and state-of-the art analytical chemistry. This 4-year PhD-Thesis-Project is based on a collaboration of the “Crop Protection and Phytopathology” group at the Research Institute of Organic Agriculture
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100%, Zurich, fixed-term The Chair of Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in self-emerging