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Qiskit or Pennylane. Familiarity with professional software development and/or HPC is a plus Prior knowledge in QEC (e.g. stabilizer formalism, surface/color/LDPC codes, decoding, fault-tolerant design
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investigate rapid structural changes. These experiments are complemented by laboratory methods, such as atomic force microscopy and light scattering. We offer two PhD positions. PhD topic 1: The project
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17.07.2025, Wissenschaftliches Personal The Chair of Software Engineering & AI is searching for a new doctoral research associate (TVL-E13) in Generative Engine Optimization. Research focus
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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks You are expected to broaden the research profile of the research unit by pursuing independent
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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reserved for a candidate that is particularly strong in the field of statistical software development. Your tasks an duties Data collection, including automated approaches (“webscraping”); Data management
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: practice-oriented research for mechanical engineering, the automotive industry, and related sectors. We develop intelligent products, production systems, services, and software applications. In our Corporate
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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similar libraries Experience in software engineering and writing clean, maintainable code Interest in self-responsible scientific research and studying current ML methods Ability to work independently and