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analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques
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Bioinformatics, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or a related field. Strong Python and R skills for omics data processing, QC
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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management of complex individual-level databases is required as well as advanced skills in R-programming. Consideration will be given to how the applicant's skills and experience can strengthen and supplement
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Biology, or a related discipline Proficiency in Python and R, with experience in spatial transcriptomics data analysis and high-dimensional data visualization Demonstrated experience in building and
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, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological discovery Familiarity with working with Unix/Linux environments An understanding
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the time at which the appointment decision is made. To be eligible for the position, you should have: Strong skills in programming and analytical tools, particularly R, including data visualization and
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skills in quantitative methods (using Stata or R). Skills in designing survey experiments, working with geospatial data and experience with comparative survey data are an asset. Experience of working with
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*. You will need strong written and verbal communication skills in English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and
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pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings. Coordinate the collaboration between the chronobiology lab (led by Dr. Paul Petrus) and the