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and affects control accuracy in Si/SiGe spin-qubit systems Develop compact Python-based models of these electronics for integration into quantum-mechanical simulations Design and evaluate cryogenic
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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python
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of statistical programming languages (R or Python), Bash computing and work with high-performance clusters. Experience with Next Generation Sequencing data would be desirable. The post is available fixed-term
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with basic bioinformatic analysis (DNA/RNA sequencing). (Required) Experience with bioinformatic frameworks (R, Python) (Required) Ability to perform statistical analyses of molecular data (Required
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• Has strong background in optimization methods. • Is proficient in programming econometric models in R, Python, or MATLAB. • Good written and verbal communication skills. • Candidates without
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design for mechanical components, electronic prototyping, and Python programming would be beneficial; Experience with embedded system development, particularly programming MSP430 microcontrollers in C, is
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++, python etc. Knowledge of Electrical or Software Engineering and Cybersecurity are plus. Good writing skills for writing proposals, reports and publications in good academic journals We regret that only
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PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python/PyTorch skills, experience with
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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quantitative data analysis. Strong programming skills in Python, including the development of reproducible data-analysis pipelines. Experience coordinating research or data-analysis tasks across projects. Strong