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Field
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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About the Role As our second CoSTAR Foresight Lab Research Fellow at Goldsmiths, you will play a key role in delivering the industry-leading applied R&D of the CoSTAR Foresight Lab, helping fulfil
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economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R. Engage in academic activities (proofreading
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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tissues and prepare sequencing libraries. Analyze spatial sequencing data using Python or R. Perform rodent neurosurgeries, such as craniotomy and cerebral microdialysis. Conduct rodent surgical injection
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, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong
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3 years postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience working with remote sensing. Experience with crop physiology is a plus. Strong numerical
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous