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Researcher to join the Machine Learning in Biomedicine group, in collaboration with the Precision Cancer Epigenomics group at NCMM, through the NORPOD program. Summary of the project Human tumors
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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/news.html)Our goal is:1. use AIML approaches to accelerate atmospheric modeling.2. use AI models to understand global atmospheric chemistryWhat we are looking for:1. strong academic background in machine
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machine learning A detailed picture of the structure of wood cell walls is highly desired to accelerate the development of new, sustainable applications from this abundant renewable raw material. We
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the motivation letter). Programming skills with Matlab, C/C++ or Python. Research experience in inverse problem and/or machine learning and artificial intelligence applied to imaging applications. A good
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an exciting opportunity to engage in innovative research at the intersection of optimal control, machine learning and robotics. Job Description As technology continues to evolve in the fields of robotics and
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. This design research topic takes the employee perspective on designing intelligent machines for hybrid teamwork. 6. Learning for provably safe and robust robotic systems Modern data-driven techniques have
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engineering, computer science, or machine learning. The title will be specified according to the qualifications and merits of the selected person. The following will be considered an advantage: Good skills in
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dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning, robotic learning, and business models related
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robotics, mechatronics, machine design, machine dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning and