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with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
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, osteosarcoma) cell and time of origin is debated but experimental studies in different models suggest possible in utero induction with postnatal initiation similar to leukaemia. In Ewing sarcoma, FET::ETS gene
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(complexity). Develop and optimise a modelling pipeline including a decision support dashboard for optimal patient selection for surgery to ensure daily surgery caseload optimisation, post-operative care
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the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: Automate defect detection in complex 3D structural data Enhance diagnostic accuracy and processing speed
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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that serves as a domain-specific foundation model for several downstream clinical tasks relevant to complex ICU decision-making. As an initial case study, the PhD project will be linked to an ongoing initiative
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-performance technologies to investigate the complex interplay between the human organism and food ingredients. The research group Mechanoreceptors/ Section II at Leibniz-LSB@TUM is currently looking for a PhD
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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
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The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and
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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your