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the development of innovative and energy-efficient thermochemical processes that enable a sustainable, de-fossilized carbon economy. We explore renewable carbon sources and investigate optimal conversion pathways
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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join a highly ambitious initiative involving extensive national and international collaboration with leading academic institutions and industry partners. The candidate will supervise PhD and MSc students
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projects in corporation with industry partners. Teaching will primarily be in control theory, hydraulics, dynamic systems, and optimization, but also in other study groups at the University. Furthermore
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the research fields as part of the position. Teaching responsibilities will include supervising BSc and MSc students and co-supervising PhD students. Further, the applicant will be lecturing on topics related
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not exclusively, interested in candidates with competence in data management and data mining, machine learning, large-scale optimization methods, and natural language processing. With a position in
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
or strengthen the competences of the section. For this call, we are looking for people who work in any one of the following areas: Automated reasoning, e.g., Optimization, Satisfiability (SAT / SMT
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modeling, optimization techniques, hybrid testing and digital twins. Furthermore, the position aims at incorporating machine learning to drive innovation in the areas. Possible applications are within
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
, combinatorial optimization, cryptology, data structures, fine-grained complexity, and algorithmic research bridging to ML/AI. Tenure-track Assistant Professorship Position Successful candidates for a tenure-track
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complement or strengthen the competences of the section. For this call, we are looking for people who work in any one of the following areas: Automated reasoning, e.g., Optimization, Satisfiability (SAT / SMT