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with over 60 companies. The research will focus on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several
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teams to explore the long-term effects of repetitive traumatic brain injury (rTBI) in both humans and mouse models. Join us! This PhD position offers you the opportunity to work at the crossroads
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
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, such as semi-Markov models linked to disease transmission models. The framework builds on existing models but these must be adapted to account for differences in epidemiology and disease burden between
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mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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leads to persistent antigen exposure and altered adaptive immune priming. To address this, we have developed two novel engineered neoantigen models that enable precise dissection of antigen-specific
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in compliance with all institutional and federal regulations. Design and execute experiments using relevant in vitro and in vivo cancer models. Develop new research ideas, therapeutic approaches, and
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topic from our list of PhD-positions , or you can come up with a topic-suggestion which would also fit within our research areas . Ýour qualifications as an Ingenious Partner: Master’s degree (Students