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Field
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Group The Human Exposome research group, led by Dr Elliott J. Price and Dr Helge Hecht, investigates the profiling of chemical exposures and their links to population health. The group develops analytical
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-molecule techniques. Coding skills for data analysis, pattern recognition, machine learning, kinetic modeling, etc. Advanced optics, biochemical wetlab, and/or bioengineering experience. Required: MSc degree
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of the research group. Desired qualifications and skills: A relevant background in aquatic biology, animal physiology or a related field. Good skills for laboratory-based analytical tools. Practical experience
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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, ethology, physics, or engineering, with a strong interest in animal behaviour and insect ecology. Specific requirements are: Strong analytical and quantitative skills, with the ability to work with complex
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theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be opportunities to present at leading
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good project and time management skills enabling you to meet project deadlines good analytical, writing and presenting skills; fluent in English, both written and spoken and the willingness to learn
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
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, particularly deep learning and optimization methods Excellent coding skills, particularly in Python and machine learning frameworks (PyTorch or Jax) The ability for creative and analytical thinking across