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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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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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of surfaces in 3-space is an essential prerequisite. Knowledge of computational geometric algorithms, optimization, and machine learning techniques would be favourably regarded. Position 2: You will focus
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, in the new Photonic Integrated Circuit based Systems (PICSys) group. PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro Kgs
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physical simulations and machine learning techniques, you will investigate the ability of surrogate models to determine large wind farms’ efficiency and wake characteristics, as well as the wake model
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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
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the PhD Alliance 2024 initiative at DTU, in collaboration with Cornell University, USA. The AMD section is a leading group in combining multiscale modelling techniques, machine learning methods, and self
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teaching within mechatronics. This could for example be within the following topics: Autonomous robots Dynamics and vibration theory Industrial control systems and automation Machine learning and AI