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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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written and spoken In a holistic assessment of suitability, the following personal attributes will also be considered: Ability to work independently and in a structured manner Strong collaborative skills
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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science
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closely with a co-supervisor at the Division of Material and Computational Mechanics. The NEST-WISE project offers a vibrant collaborative environment and close interaction with academic and industrial
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found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation Product Development Material Production and in the interaction between these areas. The research covers
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140 PhD students at CSE. Your main supervisor will be Prof. Nir Piterman, with support from a co-supervisor and an examiner. Supervision is structured to guide your academic development, with regular
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structured SPE data Develop ML models to predict key polymer properties relevant to battery performance Create generative models for the inverse design of novel SPE candidates within the targeted chemical
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Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab centers around understanding how species interactions change over time and space, with a focus on caterpillar-plant interactions and
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Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab centers around understanding how species interactions change over time and space, with a focus on caterpillar-plant interactions and
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, construction and production; and works with the entire product realization cycle from the idea stage to the physical realization of products and production systems. This includes both technical design aspects