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Python, Java, Stan, or BUGS or interfacing R with C/C++), simulation studies, real data analysis, and writing manuscripts. Duration: This appointment is for 1-2 years, with a possible extension to year 3
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C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the final year of their master's programme are also welcome to apply, provided
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, biological sciences, computer science, machine learning) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Previous experience developing statistical methods or working
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environmental exposures and human health. Good statistical knowledge. Experience with common programming languages (R, Python). Experience managing and analysing large datasets, particularly environment and/or
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-seq Hi-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python
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journals; (c) experience or interests in programming languages such as R or python; (d) willingness to work with HIV+ samples following BSL2+ procedures; (e) willingness to work with mouse models; (f
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molecular profiling platforms. Experience with data analysis software such as GraphPad Prism, R, Python, or similar platforms. Other Requirements: This position is onsite. The work is performed on-site
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unit operation and flowsheet models for chemical or energy systems. Experience with one or more process simulation and/or modelling environments (e.g. Aspen Plus/HYSYS, gPROMS, Modelica, Python/Matlab
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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. Experience in scientific programming, preferably using Python. Familiarity with seismic waveform processing (ObsPy or equivalent software). Willingness to participate in field campaigns, including