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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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expected to learn new laboratory techniques and become able to use them autonomously. Furthermore, he/she will attend weekly seminars and laboratory meetings. The working hours are 37 hours per week. For
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projects and execute these in collaboration with other colleagues. Preferably, the candidates have experience with: Robot control Safety-critical systems Machine learning and reinforcement learning
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focuses on the complex interplay of health, social, and environmental factors that shape individuals, families, and networks over time. Learn more about the Center and our research, vision, and values here
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office supplies Make sure the kitchens and coffee machines are clean and tidy Lighter administrative tasks We expect: Initiative and curiosity You are responsible and enjoy managing the practical tasks