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collaborate across a range of individuals with different comfort toward computational biology, including oral and written communication skills. Ability to seek out mentorship and assistance as needed, while
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education required Experience with analysis protocols and meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux
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(Batch and continuous), and scheduling. Data Modeling skills. Able to come up with a Canonical Data Model and simplify data flow and interaction between different applications. Should be able to integrate
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systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and vulnerability as inputs to impact-based
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working directly with stakeholders, observing the outcomes of your work first-hand, and collaborating with different disciplines on shared goals, this is the ideal role for you. Our technology stack is
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projects focused on studying the molecular mechanisms of arrhythmias with emphasis on conduction system diseases. To identify these pathways, the postdoctoral fellow will use mouse models for different
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melting times. The primary aim of this research to determine the H-DRI melting mechanism with different DRI quality. Developing an understanding of the EAF slag characteristics and heat transfer from slag
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culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate
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accessibility differences between study cohorts and support biological interpretation by our research team. Bioinformatics Tooling & Software Development: Refactor, extend, and package bioinformatic tools (e.g