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multimorbidity patterns in atrial fibrillation patients. The key responsibility of the position is to structure atrial fibrillation patient’s health data for machine learning algorithms(feature engineering
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Skip to main content. Profile Sign Out View More Jobs Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Be the First to Apply Job
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organization of large datasets. Experience in machine learning with limited data is preferred. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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who, in addition to the desired expertise stated above, have the following skills and qualifications: a PhD in (genetic) epidemiology, statistical genetics, computational biology, machine learning or a
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for improving the computational prediction and modelling Teach and disseminate your knowledge Furthermore your key tasks as a PhD-student will also include: Carrying through an independent research project under
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supported cooperative learning documented by a PhD dissertation and/or research publications. Experience in the self-directed management of research projects Experience in interdisciplinary research projects
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techniques. Located in the Intelligent Transportation Systems group in DTU (http://mlsm.man.dtu.dk ), this role is ideal for candidates with a PhD in simulation, mathematical modelling, machine learning, and
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supported cooperative learning documented by a PhD dissertation and/or research publications. experience in the self-directed management of research projects experience in interdisciplinary research projects
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that take into account their sensory and perceptual profiles. This project connects key principles of the neuroscience of perception, visual computing, human computer interaction and machine learning
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discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 270 dedicated