20 phd-cognitive-neuroscience Postdoctoral research jobs at Chalmers University of Technology in Sweden
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generates cutting-edge knowledge and builds competencies to support an innovative and sustainable future rooted in forest-based raw materials. The IndBio division and WWSC offer extensive infrastructure and
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the research group Publish and present your work at conferences and in journals Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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Department of Chemistry and Chemical Engineering , contributing to a highly interdisciplinary research setting. We seek candidates with the following qualifications: PhD in materials science, physics, polymer
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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained
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solutions with real-world impact. Major responsibilities Conduct independent research and collaborate with others in the research group. Supervise Master's and/or PhD students (no teaching included
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with the project’s Principal Investigator, and practical implementation of this research with the AIMLeNS team. The role also offers ample opportunities to mentor PhD students, supervise MSc projects
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entities Preferred qualifications Experience in biomechanics, particularly head/skull injury mechanics or impact biomechanics Knowledge of material characterization techniques and experimental mechanics
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knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in
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, particularly head/skull injury mechanics or impact biomechanics Knowledge of material characterization techniques and experimental mechanics Familiarity with optimization algorithms and design of experiments