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or adaptation of language models Interest in domain-specific and explainable AI applications You will find generell information about a postdoc position and the recruitment process at JU, in the Appointment
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for: • Advancing numerical modelling methodologies, including AI‑assisted surrogate models • Designing and conducting impact experiments for model validation • Developing research proposals and leading individual
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cell-derived muscle models or 3D culture systems (including physiological hypoxia) is a plus. Experience in biochemical and immunological mechanisms of immune-suppression Position Type Research
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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consortium. The working language is English. The postdoctoral position is funded through the NordForsk-funded Nordic–Baltic research project “Ethical and computational evaluation of fairness in AI models
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modelling and the use of CRISPR tools and an interest in neurodegenerative diseases. Essential: You obtained a PhD in life sciences, engineering, or equivalent A solid publication record with research
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treatment response models to predict which subjects will respond to treatment and heterogenous treatment effect. Whilst you will be predominantly based at the Big Data Institute, you will also be expected
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a PhD in
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at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing