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Field
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the simulation and design of optical systems for spatial and temporal optical beam shaping. Demonstrated expertise in programming, especially C++, python, and/or Matlab. Ability to work both independently and as a
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at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage
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or Python Demonstrated organisational and administrative skills with the ability to prioritise tasks Demonstrated effectiveness in both written and oral communication skills demonstrating appropriate
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statistical methods. Strong experience with scientific computing and data analysis, ideally using python or an equivalent language. A strong record of producing peer reviewed research-based publications in
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programming skills in Python and familiarity with modern computational toolchains a clear interest in theoretical or system-level questions, such as how incentives, feedback, evaluation criteria, or AI support
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decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong programming skills in Python and familiarity with modern computational toolchains a clear interest in
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modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
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modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
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modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
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widely used in micro-econometrics, and to calibrate macro models. Programming skills in languages such as Fortran, Python, Julia, Matlab, Gauss, etc. Demonstrated ability to conduct independent research