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Field
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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. Experience with molecular biology, neuroanatomy and mouse behavior. 5. Experience with programming in languages including Python, R, MATLAB is highly desired.
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and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling technologies, spatial omics
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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(Python), and be supported by high-quality publications. About the Institute The role will be based in the Digital Environment Research Institute (DERI), Queen Mary’s flagship University Research Institute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
sequencing results and run analysis code in python. Preferred Qualifications, Competencies, and Experience Preferred 4 years experience, with the majority of experience employing practical molecular biology
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validation of batteries, power converters for energy storage and charging circuits. Experience with design and implementation of energy and battery management systems. Proficiency in MATLAB/Simulink and Python
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fluorometric profiles of cyanobacteria using devices such as the Beckman Coulter Cytoflex Bioinformatics – Basic scripting experience in languages such as Python, R or BASH to carry out rudimentary genomics
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Multiphysics, MATLAB, or Python Familiarity with device-level simulations and multi-physics approaches Self-motivated and able to work independently while contributing to a collaborative research environment
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experimental campaigns Preferred Qualifications: Experience with long-wavelength IR light Experience with setting up and implementing ultrasfast optical spectroscopy system Experience developing a Python-based