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our research group, Machine Learning and Computational Intelligence (MaLeCI), which is a dynamic and diverse team of talented and highly-motivated researchers conducting cutting-edge research in Machine
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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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, Kgs. Lyngby, 2800, DK Copy to Clipboard × Similar Jobs Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Posted on 06/06/2024 Be
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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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research centre. Research at CFIN include fields such as cognitive neuroscience, neuroimaging, machine learning and biophysics. Investigators at CFIN are supported by state-of-the-art research facilities
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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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models and machine learning of structure-property relations (ii) crystal point defects for quantum technology applications (iii) excitons and nonlinear optics. You will work in an international and
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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