111 machine-learning-"https:"-"https:"-"https:"-"https:"-"IMT---Atlantique" positions in Sweden
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two years of employment, or that they apply for validation of prior learning. For other eligibility requirements, refer to Karlstad University’s Appointments Procedure . Assessment criteria In
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. Knowledge of distributed control. Experience of machine learning algorithms and in particular reinforcement learning. You are stable, creative and persistent. We offer Lund University is a public authority
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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paraganglioma driven by cell plasticity using spatial transcriptomics and machine learning.” High-risk neuroblastoma (NB) and malignant paraganglioma (PPGL) are neural crest–derived tumors with pronounced
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Swedish and English. A candidate who does not meet this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure
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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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Faculties is right for you here , and learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications Requirements for the position are: Ph.D. or an international degree deemed
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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