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, REddyProc) Excellent numeric and analytical problem-solving skills, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with
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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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to Inclusivity PULSE follows the European Charter for Researchers and the Code of Conduct for Recruitment of Researchers, ensuring an open, fair, and transparent selection process. We encourage applications from
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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. PyTorch, TensorFlow or similar). Experience with software/tool development for research, including good practices in reproducible code (e.g. Git, notebooks, pipelines). Demonstrated experience in analyzing
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. Experience and ability to design and execute experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in