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results with spatial modelling, the project will capture the structural and functional properties of the Baltic Sea ecosystem under different management scenarios. In addition, a data-driven algorithm will
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- manufactured Ni₃Al intermetallic alloys that integrates residual stress considerations directly into the design process. The research will focus on the development of topology optimization algorithms capable
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engagement—particularly within ESG disclosures—its implementation is currently challenged by ethical concerns regarding data privacy, algorithmic bias, and cultural resistance. This project aims to contribute
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studies according to the field. Possible research directions include: Development and implementation of digital twins, real-time sensor systems, and AI-based models to improve the safety of future
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with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead of time-consuming simulations to evaluate scenarios for improving the user experience along cycling and
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doctoral thesis. Success in performing research contracts in integrated wetland ecology in the last five years. Experience and abilities to carry out fieldwork on different groups of terrestrial and wetland
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value the diversity of university employees and encourage all people to apply for jobs, regardless of their personal differences or specific features. Creating an inclusive working environment and
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encourage all people to apply for jobs, regardless of their personal differences or specific features. Creating an inclusive working environment and promoting equal treatment are important to us. Read more