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Field
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
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embed user-defined conditions and structural constraints directly into machine learning routines to achieve high-resolution 3D interpolation of rock mass properties. These synthesized geotechnical fields
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research environment A self-motivated, proactive, and self-driven working attitude Curiosity-driven self-learning ability Written and oral communication skills in Dutch Keep in mind that this describes
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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industry and academia together to drive pre-competitive, fundamental research in polymers. We welcome applicants with interests in polymer physics, materials processing and characterisation, machine learning
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ongoing scientific project with the mentorship of an ambitious team with an open spirit where curiosity, creativity, acquisition of knowledge, and continuous learning are stimulated, working in a
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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research experience in e-health, digital health or a related field experience of, or a documented interest in, machine learning, AI methods or large language models (LLMs) in clinical or health-related
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists