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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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from molecular dynamics simulation trajectories in silico. On the wet-lab side, the position involves generating both fluorescence and mass spectrometry data and optimizing protocols for its analysis
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, and efficiency of the turbines. Therefore, understanding when to renovate waterway components in a turbine is key to preserving optimal performance. However, the characteristics and effects
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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conversion. Integration of developed materials into soft and deformable thermal energy-harvesting devices. Characterization and optimization of the thermoelectric, electrochemical, and energy-conversion
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optimization of the electrical, electrochemical, mechanical, and energy-conversion performance of materials and devices. Fabrication and validation of multi-cell devices under representative low-grade heat
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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development and support Establishing, developing, and optimizing communication pathways with supervisors and colleagues that best support their work and training Qualifications Requirements for the Position
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Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Develop and optimize extraction processes for the recovery of critical raw materials from lithium-ion