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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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-time (1.0 FTE) Postdoctoral Fellow with a strong background in data science and machine learning. Experience with pediatric cancer and a desire to become a pediatric cancer researcher is highly desirable
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Description The Neuro research group (https://neuro-team-femto.github.io ) of the Department of Automation and Robotics, Institut FEMTO-ST in Besançon, is looking for a postdoctoral researcher in the field
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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
. Experience with Git, Docker, Common Workflow Language, and Cloud computing. Deep understanding of concepts and techniques in machine learning/deep learning with Scikit-Learn, Keras, and/or TensorFlow and
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medical physics, physics, engineering, computer science or a related field. Strong background in image analysis, image registration and/or image segmentation. Strong background in machine learning
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or oceanography. Research background should demonstrate competence -- or at least a clear and strong interest -- in artificial intelligence and machine learning to be applied in the field of environmental sciences
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opportunity to learn new analysis techniques(e.g., Matlab, Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and international
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). Training will be provided in all methodologies but prior experience with some techniques is an advantage, and experience in human pain research is a prerequisite. An opportunity to learn new analysis
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Job Description Position Summary Our lab has an opening for a postdoctoral research associate. Are you interested in aging, biomarkers, Alzheimer’s disease (AD), machine learning, driving/community
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will be derived from these CSRS spectra by machine learning algorithms. Your mission is to set up and characterize backscattering CSRS microscopes and evaluate their functionality on cancer tissue. Your