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, the candidate should be open to interdisciplinary collaboration and comfortable with working in multi-method research contexts. Additionally, due to the specific framing of these positions, researchers accepted
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Project tasks and objectives: Industry objectives: To investigate sensor configurations and machine learning methods for sensor fusion-based machine perception for real-time operation, including
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characterization of the deposited materials. The mechanical resilience of the deposited materials is studied using application-relevant standardized methods such as bending, scratching and nanoindentation. The ENS
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: Industry objectives: To investigate methods and tools for creating semantic 3D maps of the worksite and how to maintain them over extended periods. Science objectives: 1) Explore approaches for modelling 3D
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) Development of methods and algorithms to create and update digital maps in forest environment; 2) Development of SLAM algorithm and map representation that facilitates the use of different sensors and sensor
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utopia, we aim at developing literary theory’s frameworks and methods in order to bring Eastern-European literary traditions into the world-literary discussion. The project is hosted at the Faculty
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chemical activation method, and develop environmentally friendly electrolytes. Work will focus on: Preparation, characterization, and optimization of porous carbon electrode ink for supercapacitor
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. Science objectives: 1) To develop methods of building traversability costs from real-time sensor data for a given machine and sensor modality; 2) To develop framework for rigorous and efficient integration
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, biophysics, biochemistry, systems and cell biology. In MEDI unit, genome wide methods, computational approaches and experimental models are developed and utilized to understand the mechanisms of diseases, e.g
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experimentation to develop integrative metamodeling approaches, qualitative systems analysis methods and causal graph-based solutions for machine learning. The team aims to advance innovative and robust solutions