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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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to explore and commercialize innovations at the intersection of AI systems and machine learning, with a goal to spin out a deep-tech startup. This is a unique opportunity for someone with both technical
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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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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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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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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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-Molecule Drug Discovery Strong foundation in computational methods (e.g. docking, molecular dynamics, QSAR, machine learning) Experience working across diverse target classes Demonstrated impact on
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of spoken and written English is essential, knowledge of Dutch and/or other languages is a plus. • ICT: excellent knowledge of basic software packages Excel, Word, Outlook, Powerpoint, use of machine
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results relevant for immuno-oncology and cancer immunotherapy. Eventually these analyses pipelines will drive creation of new immune landscape scoring metrices via state-of-the-art machine learning
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research on wireless sensing and communications, and a GPU Lab for training of advanced machine learning models. IDLab is both part of the University of Antwerp and the research centre imec. The University