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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 2 days ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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sleep technology that assesses the brain activity at home and explore why some people benefit more than others using cutting edge mathematical modelling. These studentships are funded through GW4 BioMed3
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that clomipramine rescues the altered SMPD1 (acid sphingomyelinase) phenotype in SMA cellular models, including human induced pluripotent stem cell (iPSC)-derived motor neurons (Brokate et al., 2025). Since SMPD1
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accurately model the relationship between stress responses captured at the physiological, psychological and behavioural levels. The first part of the PhD will focus on addressing measurement issues in
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not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in an active and well-resourced research group based in
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with this population. The project will be modelled on the Mapping ADHD services in Primary care (MAP) study, which was a nationally representative survey of adult ADHD services, treatment and prescribing
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epigenetic editing delivered via lipid nanoparticles; Using a combination of cell models and human donor livers, you will investigate how these technologies can improve organ quality and increase the number
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leader is Associate Professor Soledad Gonzalo Cogno. About the project The successful candidate will contribute to the development of mathematical and computational models to enquire about the mechanisms