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Field
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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The Bioprocess Science and Engineering (BSE) group at DTU Chemical Engineering is amongst other activities developing novel methods to measure the kinetics and stability of enzymes under industrial
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/Qualifications Experience in: - Development of artificial intelligent algorithms. - Explanaible artificial intelligence - LLM experience - Virtual intelligence entities using reinforced learning
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is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge
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modelling becomes crucial for developing effective mitigation and adaptation strategies for marine infrastructure. Within the Institute of Infrastructure and Environment, we maintain a track record in the
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to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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computer science, mathematics, and biology, focusing on processing, analyzing, and modeling biological data and processes at the molecular and cellular level. They involve developing analytical methods and software
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to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will develop a novel hierarchical control framework
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. The position is offered within the newly established AGATE Centre for Algorithmic Game Theory in Socioeconomics. Further career development at Charles University will be supported. Informal inquiries are welcome
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Job Description The Bioprocess Science and Engineering (BSE) group at DTU Chemical Engineering is amongst other activities developing novel methods to measure the kinetics and stability of enzymes