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: This PhD project aims to uncover how plants perceive glycan-based Damage-Associated Molecular Patterns (DAMPs) through novel receptor kinases characterized by our group (Martin-Dacal et al., 2022; Molina et
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, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic approach to design a public transport network that includes both traditional fixed lines and
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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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following research areas: multi-modal input, continual learning, and adaptive methods for task planning and execution in real-world environments with autonomous agents. You will be a vital part of the Visual
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), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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of the anti-MMP9 Nano-antibodies in a mouse model of delayed healing and a 3 weeks training at Nordic Bioscience( Herlev, Denmark) in the team of Dr. Signe Holm Nielsen to establish a Nano-antibodies based
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, instrumentation, acceleration techniques, and biological techniques. The laboratory has also developed important on-site research infrastructure and technological platforms. IJCLAB bases its recruitment policy
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for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
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to prostate cancer progression. This information will support the setting up of a clinical trial where anti-microbial agents are used to prevent prostate cancer development, resulting in significant