192 parallel-computing-numerical-methods-"Simons-Foundation" research jobs in Denmark
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business
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invites applications for a postdoctoral position within a dynamic research team dedicated to understanding and improving taxation behavior through behavioral and experimental methods. This is a unique
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
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chemical trauma scenarios. Further, the plan is to develop a novel quantitative 3D bite mark analysis method. The overall perspective is to secure implementation of 3D dental data within the field
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and