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Field
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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scientific writing and communication skills very good knowledge of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in
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, astrophysics, or a related discipline completed by the time of appointment, Strong interest in solar physics, space weather, or plasma modeling, Programming experience (e.g., Python or equivalent), Some
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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education, special education, applied linguistics, or a related field. Required • Expert knowledge of the following programming languages: Python, Javascript, HTML, SQL, R, LaTex. • Experience with