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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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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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, relevant to the position: An internationally oriented research profile within fields such as child-computer interaction, human-computer interaction, interaction design, learning sciences or computer
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chemical impacts: a postdoc position is offered for advancing chemical impact assessment through developing machine learning prediction tools and novel impact assessment methods in an inspiring and strong
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of machine learning methods for reduced order process model generation (experience with Gaussian process models is further desirable). Developing APIs and automated workflows for connecting numerical
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focus on (i) generative 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
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postdoc position is part of the AUT section at DTU Electro which has demonstrated state of the art perception and machine learning solutions for autonomous systems in the fields of agriculture, construction
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Excellent communication skills and fluent in English, oral and written Familiarity with analysis of metagenomic data and machine learning techniques is a plus but not essential. Experience with data
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, relevant to the position: an internationally oriented research profile within fields such as child-computer interaction, human-computer interaction, interaction design, learning sciences or computer
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environmental engineering. Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Posted on 06/06/2024 Be the First to Apply Work with international