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field. Experience in the following is essential: single-cell fluorescence microscopy, microfluidics, image analysis, and machine learning (as applied to biological imaging). Python and MATLAB programming
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proficiency in Python are essential for success in this role. You will possess excellent communication skills, including the ability to write clearly for publication, present your research effectively
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economic modelling, ecological and environmental assessment, or GIS. You should also be skilled in data handling and programming, and your ability to write and communicate clearly enables you to engage
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to the proposed area of research. You should have experience in finite element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite
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of working with quantitative data and relevant software (Stata, R, Python, or similar). This is a full-time, fixed-term post for 12 months, that must end no later than February 2027. The Department of Social
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. Advanced programming skills, particularly in Python. Experience with computational approaches to protein folding welcome. Familiarity with molecular dynamics simulation tools such as GROMACS welcome. A solid
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statistical programming using R and/or Python, with experience in data management, analysis, and visualisation. You must have demonstrated experience working with large-scale biological datasets, preferably
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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the relevant literature, and are proficient in Python and common ML frameworks. What you will do You will design and evaluate learning-based methods for navigation and perception, develop and analyse
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of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C++, or demonstrated ability to rapidly acquire fluent knowledge of new programming