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Field
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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at FIU to uplift and accelerate learner success in a global city by focusing in the areas of environment, health, innovation, and justice. Today, FIU has two campuses and multiple centers. FIU serves a
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). Taking advantage of multiple state-of-the-art techniques (e.g., gene profiling, virus-mediated circuit tracing, calcium imaging/optrode recording, fiber photometry, EEG/EMG recordings, patch clamp slice
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laboratory is interested in understanding the neural mechanisms underlying behavioral impairments in neurodevelopmental disorders (i.e., Fragile X Syndrome). Taking advantage of multiple state-of-the-art
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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, statistics or similar field. Experience in the following topics is required: Proficiency in scripting language (Python or R) and maintaining code repositories In-depth bioinformatics experience working with
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Scientific Diver (e.g. AAUS) certification would be an asset Required Work and Related Experience Experience with coral heat-stress assays (ideally in multiple life stages) Proficiency in molecular biology
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
multiple genome alignment to identify gene loss in plants and investigating its links with species divergence and adaptive traits in various plant clades, e.g., Orchidaceae, Poaceae, Solanaceae, Brassicaceae