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built. The Department includes researchers from economics, law, planning, public policy, finance, real estate and engineering. LISA supports spatial research across these fields, with a focus on GIS and
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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confidence in Python programming is essential. Practical knowledge of experimental implementation of optical imaging instrumentation and performing the associated data handling and analysis is also essential
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. Previous experience in atomic physics/modelling is desirable, as well as knowledge of IDL/Python/FORTRAN/C++ programming. Further information about the Astrophysics Group can be found at http
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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development Proficiency in complex data analysis Knowledge and experience with R, Python, MATLAB Familiarity with statistics methods, large data sets and data visualization Ambition, drive, strong work ethic
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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, and/or RNA-seq. Proficiency in programming languages commonly used in genomics, such as Python and/or R, along with familiarity with Bash scripting, is essential. The ideal candidate will demonstrate
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with