30 component-labeling-cuda PhD positions at Chalmers University of Technology in Sweden
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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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. Based in a beautiful Nordic city with close access to nature, you will enjoy a competitive salary, full social benefits, and work-life balance. As part of our research group, you will benefit from: A
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to improve the safety of these vessels. About us The Division of Marine Technology , part of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology, conducts research and
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overview The aim of the project is to explore the interplay between the electrical and mechanical properties of conjugated polymers and conducting polymer fibers. A central part of the research will involve
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the driver to actively participate and accept the interventions. A key component in the project will be to practically test feasibility and assess the performance of algorithms and hypotheses in test track
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil
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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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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 group in the Quantum
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models at boundary value level Experience in programming Meritious Experience in constitutive modelling of soils, including model formulation and implementation at element level Experience in numerical
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these systems operate in, ACPS increasingly rely on data-driven learning-enabled components to perform a variety of challenging decision-making tasks. While indispensable for autonomy, learning-enabled components