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, dependable, excellent computer skills, proactive, excellent listening skills, dental knowledge, positive attitude, forward thinking, multi-tasker, analytical, responsible, diligent, decisive, receptive
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, test and measurement methodologies for electronic modules, system engineering, data pre-processing and database indexing/analytics for dashboarding/visualisation, embedding machine learning algorithms
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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/computer/intercom and imprinters. Also includes filing, chart assembly and maintenance, maintaining patient records, and extensive verbal communication. Skills / Knowledge / Abilities Basic administrative
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/intercom and imprinters. Also includes filing, chart assembly and maintenance, maintaining patient records, and extensive verbal communication Skills / Knowledge / Abilities Basic administrative skills
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for physician interpretation. General knowledge of EHR and PACS computer systems, ultrasound knobology/optimization, and strong customer service skills preferred. Skills / Knowledge / Abilities The ideal
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. Additional Qualifications: Knowledge of machine learning tools such as penalized logistic regression, XGBoost, neural networks. Knowledge of modeling strategies including propensity score weighting and doubly
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati