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at a maximum level of 20 %. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in Machine learning, Computer science, Bioinformatics
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods
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unicellular microalgae used in biotechnological applications. Your research will focus on investigations of the biosynthesis and modification of the cell wall of Chlorophyta. Using bioinformatic tools you will
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Master’s degree (or equivalent) in electrical engineering, biomedical engineering, engineering physics, or a related field. Strong interest and ability in both experimental work with sensors and data
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and
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. The research focuses on the development of the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both
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gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
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carbon filters. Wastewater treatment plants are significant sources of OMPs in the environment. Granular activated carbon (GAC) adsorption has emerged as a key removal process. In addition to adsorption
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. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. Doctoral studies require physical presence throughout the entire study period. A valid
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable