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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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, or related fields. Strong programming skills in Python. 0–3 years of relevant experience. Experience building data processing pipelines (ingestion, cleaning, transformation, feature extraction, evaluation
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comparable field Very good knowledge of quantitative research methods in medicine or health sciences Demonstrable subject-specific programming skills (e.g., R, Python, etc.) Experience with database usage (e.g
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field. • Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R. • Interest in machine learning, cancer genomics, and single‑cell
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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health, or related field, plus at least two years directly related experience required. Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior
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-cell RNA-seq, bulk RNA-seq, proteomics, etc. Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control
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(https://sites.lsa.umich.edu/brang-lab/ ) under the direction of Dr. David Brang, but this is a collaborative project among multiple labs at the University of Michigan and the University of California, San
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degree in a related field plus proven/relevant experience Relevant experience teaching in an online or asynchronous format. Expert knowledge of data visualization tools such as R, Tableau, Python, D3