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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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equivalent is required. The applicant can either have their PhD at the time of the application, or could be working towards the PhD. Application Requirements Document requirements Curriculum Vitae - Your most
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application) PhD, MD, or MD/PhD in biomedical engineering, physics, electrical engineering, or a related field Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V
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degree (e.g., Ph.D., M.D.) or the foreign equivalent is required. The applicant can either have their PhD at the time of the application, or could be working towards the PhD. Application Requirements
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and experience: Essential experience and skills: You have a PhD in life sciences You are highly experienced in working with neuronal stem cells. You have documented experience in performing epigenomic