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, bioinformatics and machine learning, as well as high-throughput biology in the framework of gene regulatory networks. Our final goal is to use this knowledge in the development of novel preventive or therapeutic
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representation, combinatorial optimization, emergent communication and language, computational creativity, and machine learning at the Artificial Intelligence Lab to which you will be affiliated; Other research
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in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise in renewable energy (solar and wind energy) is an
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of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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to quality, integrity, creativity, and cooperation. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise
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analyses, survival analysis, machine learning). Job profile You hold a master's degree (preferably) in medicine, biotechnology, bioengineering, biomedical sciences, pharmacy or equivalent. Diploma
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neuroscience), and computer science (data analysis, machine learning, and artificial intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition
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processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You