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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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. The position includes, among others, preparing scientific publications, presenting results at conferences and workshops, and participating in project meetings and activities. You will also make a limited
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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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, 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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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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through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design
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opportunities in our teaching facilities . At HST, you have the chance to explore your passions, connect with individuals who inspire and challenge you, and make discoveries that can transform both your life and
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. AEGIS sits where two fast-growing fields meet: datacentres and AI infrastructure on one side, energy and power systems on the other. Few people today can work across both, so the skills you build here
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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