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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
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and driving a project to finalization. The working language of the group is English, and we expect all our team members to have very strong written and oral English skills to ensure efficient
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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) Experience abroad Team player and high social/communicative skills What we offer: Work-life balance: Our
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or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design Previous collaboration with experimental biologists
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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of peer support. You should have a PhD or equivalent experience in a relevant field such as psychology, speech and language therapy, public health or a related discipline. The post is available for 16
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-evolutionary optimality concepts and modelling Good programming skills Familiarity with relevant data sources for model evaluation Previous research experience and publication record The ability to use own
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Practical experience in using site and global data sets for model evaluation Good programming skills Familiarity with relevant data sources for model evaluation Previous research experience and publication
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written and oral communication skills and experience or interest in bioinformatics and in vivo work (holding a personal licence) would be advantageous. What We Offer As an employer, we genuinely care about