42 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at SciLifeLab
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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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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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of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. SciLifeLab SciLifeLab is an academic collaboration between multiple Swedish universities
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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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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning
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data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
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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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data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
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registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial