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The main research area will be within the field of problem based learning(PBL) in engineering education. The position will be related to the Aalborg Centre for Problem Based Learning in
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of the human pain neuroplasticity, using an interdisciplinary neuro-engineering and neuroscience approach. CNAP is an international research center with approximately 60% of our staff from outside of Denmark and
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of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a
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15 May 2024 Job Information Organisation/Company Aalborg University Department Center for Neuroplasticity and Pain (CNAP) Research Field Medical sciences Neurosciences Engineering » Biomedical
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experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine, and medicine with industrial specialisation. You will thus be joining an inspiring, enriching, and productive
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are highly interdisciplinary and include experts within e.g. biomedical engineering, neuropsychology, pharmacology, biophysics, and medicine with industrial specialisation, and medicine. You will thus be
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in, Engineering, Data Science, Computer Science or a related field with a strong foundation in physical and data driven modeling, statistics and stochastic processes. Experience in control engineering
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of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from
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degree in computer science or a closely related field such as mathematics or control engineering. Due to the project’s angle, applicants should have a strong background in at least one of the following
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, mathematics, engineering, or a field relating to data science with emphasis on statistical modelling. You are required to have: Experience with statistical modelling Strong programming skills in one of the main