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to support future project maintenance. Agile methodologies: Actively participate in team ceremonies (Daily Stand-ups, Sprint Planning, Retrospectives). Requirements: Bachelor's Degree in Computer Engineering
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collaboration with project partners for the successful integration of the coatings into real-scale filtration systems. -Documentation and Data Management: Preparation of technical and scientific reports
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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training more data-efficient and to speed up candidate selection. Main Tasks and responsibilities: Core duty 1: The person shall deploy and interconnect an active learning framework into our simulation
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, sparsity, and symmetry. Data pipeline: Curate datasets from DFT calculations (and, where relevant, Wannier/TB extractions); implement preprocessing, splits, and rigorous validation. Metrics and validation
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processing of administrative procedures. - Preparation and updating of lists, reports, and tracking data (reports, indicators, etc.). · Communication and Dissemination Support: - Collaboration in
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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replication: use fully converged simulations as references; design experiments to measure convergence speed, accuracy, robustness, and cost vs. baseline workflows. Agent & data pipeline engineering: build
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, sparsity, and symmetry. Data pipeline: Curate datasets from DFT calculations (and, where relevant, Wannier/TB extractions); implement preprocessing, splits, and rigorous validation. Metrics and validation
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical