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teaching oriented but the teaching workload can be adjusted depending on research output and other academic or administrative responsibilities (e.g. editorial roles, educational program-level leadership). A
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at the Department of Chemistry and Materials Science, Aalto University, is looking for three PhD students to join cutting-edge research projects in atomistic modeling, machine learning, and computational materials
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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performance in previous studies is also valued. Knowledge of at least one scientific computing programming language, e.g., MATLAB or Julia, is highly desirable. Other requirements: Master’s degree in
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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attitude toward high-quality research to work as a full-time Doctoral Researcher or Postdoctoral Researcher in Computational Structural/Solid Mechanics. The candidate's research activities will focus
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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra