52 parallel-computing-numerical-methods-"DTU" positions at Chalmers University of Technology
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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prior to the application deadline, in a relevant subject area such as control systems, robotics, applied mathematics, or machine learning.* Strong programming skills and experience with numerical methods
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
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We are currently offering a PhD student position focused on developing new AI-driven methods for molecular engineering, with an emphasis on the discovery and design of solid polymer electrolytes
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a strong specialization in Sound and Vibration (We also welcome applications from candidates who will graduate soon). Solid knowledge of structural mechanics and numerical methods Proficiency in
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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Chalmers is offering four full-time 2,5 month summer positions in quantum technology research. Apply today to gain hands-on experience at the forefront of quantum computing, sensing, and
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to construction processes, policies, or material flows. Familiarity with research or practice at the intersection of building production methods, circular business models, and sustainability transitions. Experience