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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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Skills: Proficiency with ArcGIS, MATLAB, Python, R, and MS Excel. Experience with agricultural and construction equipment. Knowledge of load securement and driving large trucks and trailers. Please include
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of microalgal biomass. The PhD student will join the Life Cycle Sustainability (LCS) group and will collaborate with other international research partners. LCS brings together multiple competences within
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field sites. Preferred Skills: Proficiency with ArcGIS, MATLAB, Python, R, and MS Excel. Experience with agricultural and construction equipment. Knowledge of load securement and driving large trucks and
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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. · Proficiency in programming languages such as Python, Pytorch/JAX, AWS. · Knowledge of energy market mechanisms and policy considerations is a plus. · Excellent communication skills and the ability
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analytical skills have a strong programming background with experience in using Python, C/C++, and/or Java, etc. strong interpersonal skills with demonstrated ability to communicate (written and oral in
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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specific interest in dynamics and effects over time. Such questions are not limited to one charitable cause, but can also involve the interplay between multiple charitable causes. In this project, you will
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case