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Applications are invited for a 1-year Postdoc position in the field of Intelligent Control for Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark
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at the Department of Mathematics. The academic content of the program will be identical to that of the already existing bachelor's program in Data Science, but all teaching will be conducted in English, and the
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inversion of FEM and TEM data of variable spatial density and sensitivity. The work will build on a recently developed EM forward operator, with the opportunity to design and implement the inversion engine
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(MADE) Center (www.made.dk ) project REACT. The aim of the Post Doc position is to do research in industrial integration of digital decision support systems based on real-time data from e.g. Digital Twin
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analyzing complex biological data, developing innovative algorithms, and contributing to groundbreaking research projects in the department. You will contribute to strengthening our capabilities in the fields
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to the deselected applicants. Letter of reference If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly
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of Computer Sciene at Aarhus University. We are located at Åbogade 34, 8200 Aarhus. Contact information Questions regarding the position should be directed to Professor Lars Birkedal or Center Manager Henriette
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cancer detection. You will apply the methods to unprecedented genome-wide circulating cell-free DNA data sets from cancer patients and healthy individuals. The data contains rich information on cancer
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to no assumptions can be made on the data. Data dependent generalization error bounds: The objective is to derive generalization error bounds for robust variants of ML algorithms featuring only data-dependent
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to interact effectively with students and academic staff. Excellent communication skills, both oral and written, in English to effectively communicate scientific information. Ability to conduct independent