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researchers and build up an international network. Furthermore, you should be willing to complete a stay abroad once during the PhD studies in order to strengthen your profile as a researcher. Qualification
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Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for candidates for the following stipend: Learning the Structure and Dynamics of Complex Networks We
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, or a closely related discipline. You have experience with spectroscopy and chemometrics and at least some of the following areas: data acquisition, equipment construction, machine learning, and image
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participating in project meetings and activities. You will also make a limited contribution to teaching or supervision at Aalborg University, for example by supervising bachelor’s and master’s students working
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Job Structure for Academic Staff at Universities (in Danish). Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations
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machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread through a system, and using them to make
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designs, surveys or field/laboratory experiments is an advantage, but not a strict requirement, provided you are ready to build such competences. You work independently and in a structured way, and you are
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of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish). Salary and terms of employment are in accordance with
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the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish). Salary and terms of employment are in accordance
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of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff