41 postdoctoral-biomedical-signal-processing PhD positions at Chalmers University of Technology
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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the entire industrial process — from identifying needs to delivering the final product — while generating added value. The department stands out both nationally and internationally through its ability
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. These duties can be scheduled flexibly over the year. Supportive, inclusive, and equality-focused work culture. Opportunities for national and international collaboration. Application process Your application
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polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
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We are looking for a PhD candidate fascinated in modelling erosion processes in sensitive clay slopes. The highly sensitive clays, called quick clays, can change from solid to liquid with small
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NEST partners, who collect and process biological behavior of live cells by imaging. The methods developed in this project will be used to improve the best practices in this application Who we