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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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acquisition, calibration, uncertainty/rigour and noise control). Strong signal processing skills (e.g., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate
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XML, SQL, JavaScript and CSS is required. Experience in high level programming languages such as Python, PHP or Perl will be highly desirable. This role is offered at either Level 4 or Level 5 (Senior
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to analyses, dashboards and automated validation/ETL pipelines using SQL/Excel and/or R/Python, support simple visualisations and reports for investigators. About you Experience extracting/abstracting data from
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analysis is essential. Familiarity with additional omics technologies (e.g. RNA-seq), programming languages such as R or Python, and knowledge of breast cancer biology are highly desirable. You will be
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simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python, MATLAB, Bash) You will be motivated
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Familiarity with use of Reference Managers Desirable Skills: Quantitative/Data Visualisation skills (Python?) Experience in data management Postgraduate or relevant research experience Works well within a team
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Visualisation skills (Python?) Experience in data management Postgraduate or relevant research experience Works well within a team and independently Please note that unfortunately we can not accept Certificate
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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modelling reduced‑order or low‑order modelling scientific programming (e.g. Python, MATLAB, etc.) You should be able to work independently and collaboratively, communicate your research clearly, and