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, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and
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models. By utilizing biobanks of lung biopsies and established animal models, LifeLUNG will apply advanced machine learning and AI-driven deep sequencing to identify key immune factors and gene targets
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science
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be maintaining a pool of diverse, complementary models that can be adapted to new problems through continuous learning. We will develop this methodology to address several applications within the life
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experience with quantitative research methods, including psycho-physiological and behavioral measures and advanced statistical (and/or machine learning) methods. You have a high level of proficiency in English
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large research group which is well connected to the machine and transportation industry and I am eager to learn how academic research can be linked to industrial innovation roadmaps. - During my PhD I
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wireless communication, signal processing, digital, analog and mm-wave design, and machine learning. This is a unique opportunity to develop innovative, multi-disciplinary technology and shape future
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research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching
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learning) to advance in-silico drug discovery. If you are a senior AI/MD expert with experience in applying machine learning to scientific simulation and a passion for driving innovation, we want to hear
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a strong interest in and/or experience with quantitative research methods, including psycho-physiological and behavioral measures and advanced statistical (and/or machine learning) methods. You have a