39 computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology
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Be part of the DARE (Digital Autonomy with RISC-V in Europe - https://dare-riscv.eu/home ) project developing novel high-performance computing and AI technologies. Learn more about cutting-edge
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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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project Participate in teaching activities Qualifications You have a PhD degree in a field related to High Performance Computing or Computer Architecture. You are highly motivated, self-propelled, energetic
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the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid dynamics of bioreactors. While our team consists
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-constrained models. Currently, we are advancing the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid
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the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and
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work with a wide array of computational methodologies, including material characterization, machine learning, high-throughput techniques, and ab initio calculations of (electro)chemical reaction kinetics
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possess strong programming skills in Python. Experience in human behavior research, computational behavior modeling, and AI/machine learning methods for time-series analysis is advantageous. Particularly
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Are you passionate about advancing the safety and reliability of learning-enabled systems? Join the Group for Safe and Trustworthy Autonomous Reasoning (STAR) to lead cutting-edge research in