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documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Machine learning for 3D printed multifunctional metamaterials Description: The PhD topic focuses on the use
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, interdisciplinary initiatives, and industry partnerships at national, European, and international levels. Qualifications: PhD in Mechanical, Electrical, Computer, Civil and Environmental Engineering, or a closely
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Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
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and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/22209173
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uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Physics-guided learning for machine control Description: Robust machine control assumes modeling of robot-environment
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only accurate, but also physically interpretable and uncertainty-aware. The PhD project will focus on fault diagnosis and root-cause identification for a web-winding machine, serving as an industrially
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Infrastructure? No Offer Description Organization / Company: Università di Pisa (UNIPI) Department: Dipartimento di Informatica (Department of Computer Science) Research Field: Computer Science; Machine Learning
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students to ensure excellence in clinical placements, foster strong community relationships, and promote high-quality experiential learning. Responsibilities: • Provide leadership in planning, developing
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on tungsten samples and candidate tungsten alloys will validate the simulations and guide the design of more dust-resistant materials. Finally, we will use machine learning to integrate simulation and
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learning) and image processing, An interest in optical instrumentation and the medical field, Programming and machine learning skills, Ability to collaborate in an interdisciplinary team, Analytical and