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the heart of what we do. The department has five Research Groups: · Algorithms and Complexity (ACiD) · Network Engineering, Science and Theory (NESTiD) · Scientific Computing (SciComp
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individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph
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datasets Implement LLM and Machine Learning algorithm Conduct statistical analysis in SAS or Stata Assistant with other ad hoc tasks Required Education Bachelor’s or Master’s degree in computer science
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
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this project, we will develop new algorithms and computational schemes as well as further develop existing computational frameworks in the team. We will focus on two related frameworks in the project
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knowledge of R and Python programming languages in the areas of algorithmic trading and modelling of market risk; Specific Requirements other significant achievements (e.g., awards, scholarships) and
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languages in the areas of algorithmic trading and modelling of market risk; experience in creating or co-creating and implementing national and international teaching projects; experience in organizing and
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emerging tools related to the group's activities. Notably, the Green Algorithms Dashboard for HPC (https://dashboard.green-algorithms.org/login ) and the popular online calculator (https://calculator.green