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experience (preferably in Python or MATLAB) 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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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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requirements In order to complete the doctoral programme in question, the following are also required: Proficiency in programming, e.g. with Python. Good ability to work independently and to formulate and tackle
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systems Programming skills in Python Familiarity with containerization tools (e.g., Docker) Fluent in Swedish (spoken and written) As a person you are collaborative, proactive, and adaptable, with a
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application in the life sciences, preferably in microbial genomics. Strong programming skills in Python or an equivalent language. Strong communication skills and experience in working in a team. The following
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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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research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python) Strong written and verbal communication skills in English *for
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prosody control. Strong programming skills (e.g., Python, PyTorch). Ability to work both independently and collaboratively within an interdisciplinary team. Good communication skills in English, spoken and