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, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a PhD degree in Physics or related fields from a recognized university
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quantitative/statistical skills and experience handling large, multi-source environmental and/or biomonitoring datasets. Proficiency in a relevant programming/statistical environment (e.g. R, Python, or MATLAB
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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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Python and SAS could be an advantage. Those with less experience may be considered as Research Assistant I/II. The appointee will work on research projects related to health service research, and assist in
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established and excellent bioinformatics skills, including proficiency with coding in R and Python environments and experience in the development/application of a broad range of computational tools/packages
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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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; Excellent computational skills, including experience with Machine Learning (e.g. sklearn, pytorch, tensorflow in Python), and the ability to learn new computational techniques quickly as required; Experience
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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, Genetics, Chromatin biology, epigenetics, Genomics techniques and analysis i.e RNA-seq, ChIP-seq, CUT&Tag, Hi-C, R, Python Additional Information Selection process https://www.ucd.ie/workatucd/jobs/ Website