429 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Kiel-University" positions in Denmark
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The Centre for Machine Learning located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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materials, utilizing hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics. This position is
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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accompanying family . Additional information about working in Denmark can be found at Work in Denmark . Regarding research funding support The Danish funding landscape is rich and diverse with several public and
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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, biomaterials, circular design practices or other related developments. Proven experience with data-driven methods will be regarded as advantageous. Experience in developing and managing laboratory infrastructure
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publications in leading international venues. - Guiding and working with Master and Ph.D. students at ECE and collaborators as needed. More information - see the attached link or email: sshreya AT ece.au.dk
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for working within an interdisciplinary research team Strong analytical skills and ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but