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Field
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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, the doctoral degree can have been completed earlier. Applicants must have: PhD degree in meteorology or equivalent; BSc in physics or equivalent; Oral and written proficiency in English; Programming language
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. Information about the project This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming
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part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create globally
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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to be a merit for the position are both theoretical and practical knowledge of Quantum optimisation, and Quantum Machine Learning and extensive programming experience, e.g., Qiskit, Python, TorchQuantum
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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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: Prior experience in working with large aerosol datasets. Knowledge in programming to analyse data and display scientific results. You are independent, have good collaboration skills, likes to take
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: Experience with femtosecond lasers, ultrafast optics and nonlinear optics Experience in high-order harmonic generation and attosecond physics Other skills, e.g. instrument programming, data analysis, vacuum