36 experimental-fluid-mechanics positions at Chalmers University of Technology in Sweden
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devices where you will provide a key tool for efficient workflow. Information about the division and the project The Quantum Technology division focuses on experimental research in superconducting quantum
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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We are searching for a doctoral candidate eager to take part in crossdisciplinarity work within battery technology for a sustainable future. This work will compose both theoretical and experimental
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We are looking for a highly motivated PhD student to join the research group of Professor Christian Müller . The focus of the project is on understanding the mechanical properties of conjugated
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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or Electrical Engineering; Experience in cleanroom fabrication processes; Good communication skills; Ability to work collaboratively in a research team; Strong analytical and experimental skills; An excellent
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– entrepreneurship as design, scientific entrepreneurship, theory-based view, iterative venture development, experimentation, iterative prototyping, effectuation, co-creation, balancing exploration and exploitation
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the project period. Research environment The Department of Mechanics and Maritime Sciences (M2) conducts both fundamental and applied research across all modes of transport, aiming to contribute to sustainable
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at the Division of Transport, Energy and Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will join an interdisciplinary team with Ida-Maja Hassellöv, Lars
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Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will be joining an interdisciplinary team with Ida-Maja Hassellöv and external collaborators Amanda Nylund