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precision medicine algorithms for critically ill patients using EHR data. We are looking for a full-time data analyst with proficiency in R and python, and the ability to take machine learning projects from
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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analysis according to the study protocol and statistical analysis plan. You should have experience in epidemiological analysis using routine healthcare datasets, along with advanced skills in coding in R and
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at enhancer sites, often forming R-loop structures, may be more important than the specific eRNA molecule itself. This leads to the hypothesis that eRNAs play a crucial role in the formation and function
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vacuum systems, cryogenics, and low-temperature experimental techniques Passion for problem-solving and building scalable solutions for quantum hardware R&D 🌌 Why This Role Matters This project plays a
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knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently
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proficient in R, Stata, or Python for statistical analysis and have demonstrable experience in handling and analysing large-scale datasets, including EHR and biomarker data (e.g. UK Biobank, China Kadoorie
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to work independently and collaboratively in a team-focused environment. Essential skills and knowledge include: • Proficiency in data tools such as Excel, SQL, Power BI, Tableau, R or Python
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written