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Field
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Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have
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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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have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
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publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical
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have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
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, with the possibility of extension. About you: Essential criteria PhD qualified in psychiatric genetics, biostatistics, statistics or related field Proficient in using R, Python or similar programming
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datasets using Python or R. Ability to work both independently and collaboratively, with strong organisation, attention to detail and communication skills. Clear motivation to apply interdisciplinary and
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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
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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
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative