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discovery through public and Novartis-internal datasets. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near
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biology, machine learning, and tissue biology. In this role, you will work closely with Dr. Yi Zhang and collaborators to develop and apply computational methods for analyzing complex biological data
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: Nonexempt Work Schedule: Flexible Summary The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall
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an outstanding environment in which to develop machine learning tools and engage with an interdisciplinary community of researchers with an interest in AI for healthcare. The post holder will have opportunities
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researchers in the Faculty of Medicine and at Aalborg University Hospital. Applicants should have: A strong technical background in machine learning, computing, data science, biomedical engineering, or a
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, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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initiatives. OR Doctoral degree in a quantitative discipline with demonstrated expertise in statistical modeling, machine learning, data science, research methodology, or related analytical fields. Required
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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and