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(preferably in Python, Matlab, R, or similar) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. A strong foundation in Python
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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analysis or modelling tools—such as Aspen Plus, Matlab/Python, or similar—to help link experimental findings to process or techno‑economic evaluations. What you will do Take courses at an advanced level
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health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance for the project. Have documented programming experience in R, Python or other common programming
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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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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in
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utilizing Python and web-stack technologies (such as JavaScript), to translate theoretical models into functional, testable software in close collaboration with our core research team. Beyond software