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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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employees where extensive research is carried out centered on various aspects of nanophysics, ranging from materials science to bio- and quantum physics to various applications. The division is a central part
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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, it is crucial to evaluate whether increasing broadleaf stands effectively enhances biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition
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dynamics and application of composite materials. Subject description Structural Engineering includes loads, design, sustainability, load carrying capacity, repair and strengthening, of buildings and civil
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The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is mainly
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biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition at stand and landscape scales in shaping species communities is not well understood. Advances
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focus on organic semiconductors, polymer blends and composites. The group develops new plastic materials for wearable electronics and energy technologies, including organic solar cells, thermoelectrics
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a