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with the Natural Computing Group of LIACS at Leiden University and closely collaborate with hydrogen technology companies and other universities in the Netherlands. Key responsibilities Conduct original
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like engineering design, to provide an example. Subsequently, the project will focus on the development of robust and automatically customizable algorithms. This research is motivated by an undiscussed
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interaction, specifically concentrating on bacterial interactions, preferably experience with plant and bacteria cultivation microbiome analysis molecular microbiology (genetic engineering of bacteria
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centralized Waste Water Management (WWM) system. This system relies heavily on energy and chemicals, struggles with urbanization and agriculture intensification, lacks climate change adaptation, and is often
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academic service. Our institute, the Centre for Science and Technology Studies (CWTS) at Leiden University, has long been known as a centre of expertise on research evaluation, and we are currently engaging
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beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry
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. Selection criteria Master's degree in a relevant discipline e.g. environmental or sustainability science, industrial ecology, environmental engineering etc. Good mathematical background Knowledge and interest
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degree in Microelectronics, Computer Science, Biomedical Engineering, Electrical Engineering or a similar field; Expertise through your field of study in particular in deep learning, neuromorphic
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, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight
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) implementing GenIR algorithms in diverse settings such as search engines and recommendation systems. The exact projects will be decided around the student's interests and the expertise of the supervisor (Dr