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data. Much focus is on large scale analysis based on machine learning, deep learning/AI, as well as handling and analyzing large 3D microscopy data. You will work with shorter and longer projects and
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. Experience with machine (deep) learning frameworks (e.g. PyTorch, TensorFlow). Excellent written and verbal English communication skills, required for daily interaction with an international user base
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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
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for representation learning, predictive modelling, or functional inference, including deep learning approaches. Cheminformatics & Chemical Biology Data: Familiarity with molecular representations, compound annotation
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into practice. We offer a dynamic and inspiring work environment. We also value knowledge sharing between teams and developers, and provide opportunities for continuous learning and development. Qualifications
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an Assistant Professor is to develop research skills as an independent researcher and acquire scientific and pedagogical qualifications. The position has a focus on research but may also include
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Assistant Professor is to develop research skills as an independent researcher and acquire scientific and pedagogical qualifications. The position has a focus on research but may also include teaching and