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or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic
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to dimension the reserves for balancing these power systems with manual and automatic reserves such as mFRR, aFRR and FCR. This PhD project will model different balancing principles including MARI and PICASSO
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positions, please contact: anlo@bmb.sdu.dk Application, salary etc. Appointment as a PhD Research Fellow is for three years. Employment stops automatically at the end of the period. The holder
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of Employment Employment as a PhD fellow is a 3-year salaried position and ends automatically at the conclusion of the period. The position holder may not undertake other paid work during this period. Employment
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years. Employment stops automatically at the end of the period. The holder of the scholarship is not allowed to have other paid employment during the three-year period (the 5+3 programme ). Further
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degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and
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their MSc. Employment stops automatically at the end of the period. The holder of the scholarship is not allowed to have other paid employment during the three-year period The 4+4 programme : Appointment as a
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. Application deadline: 20 June 2025 at 23:59 hours local Danish time Application, salary etc. Appointment as a PhD Research Fellow is for three years. Employment stops automatically at the end of the period. The
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at 23:59 hours local Danish time Application, salary etc. Appointment as a PhD Research Fellow is for three years. Employment stops automatically at the end of the period. The holder of the scholarship is
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. Selected applicants will be invited for an interview. Please note that a positive assessment does not automatically result in an interview. Once the recruitment process is completed each applicant will be