16 operator-algebras Postdoctoral positions at Chalmers University of Technology in Sweden
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, and environmental sustainability. As a postdoc, you will become part of a dynamic team that offers a stimulating and flexible work environment, with opportunities for collaboration and networking both
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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mortality in aging populations, making this work a critical public health priority. The successful candidate will work in a collaborative environment that bridges academic research and industry application
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and flexible work environment, with opportunities for collaboration and networking both within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women
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and inspiring working environment in the coastal city of Gothenburg . Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work
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for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence . Equality and diversity
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design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
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abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
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work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better
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knowledge base. Main responsibilities include: Conduct benchmarking and further development of risk assessment models and components. Investigate the reliability of accident data, including cross-validation