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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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Python or R A willingness to learn and apply machine learning approaches We offer A versatile and challenging job in a vibrant and world-class research environment operating at an international level
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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working in a lab (placements during degree studies is sufficient) Basic computer skills (text processing, spreadsheet, presentations) Enthusiastic team player Basic understanding of immunology Desirable but
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, criterion handling and machine learning. Topic The main research objective is to contribute to the development of responsible AI, with a strong focus on trust and confidence handling when dealing with data
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background in machine learning, including Natural Language Processing. You have excellent coding skills in Python; hands-on experience in deep learning frameworks such as PyTorch or Tensorflow is a plus You
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role We are seeking an outstanding Research Associate to strengthen the research team in the area of Search, Optimization, and Machine Learning Techniques. As a Research Associate, you will: Conduct
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Python and R You have experience in the analysis of omics dataset using statistical or machine learning methods You have experience in the development of wet lab protocols for performing in vivo CRISPR
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. Assist in stock management, data management, and the QC program of the facility. Train the users on the analyzers and FACS machines. Assist researchers with acquiring, analyzing, and presenting their data