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Field
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: • PhD degree in Water Resources Engineering or related field • Familiarity with MATLAB, Python, ArcGIS, network theory, statistical analysis etc. • Good written and oral
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skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a
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deadline. It is a condition of employment that the master's degree has been awarded. Applicants must have strong programming skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must
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(MATLAB, Python, and LabVIEW) are welcome. Priority will be given to applicants with a proven record of cross-disciplinary research. Good communication skills and demonstrable capabilities to work
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programming skills in MATLAB Excellent written and verbal communication skills Positive and collaborative working attitude Excellent problem-solving skills Knowledge of PDE and computational methods 2+ years
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analysis of large datasets using Python, Matlab, or other programming languages - Experience with embedded system, particularly IoT sensor development. - Experience with optical sensor development preferred
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and mathematical modeling (Python, MATLAB, or R) Design of controlled experimental systems to test mechanistic hypotheses Application Instructions Interested candidates should submit the following
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programming skills: Python/MATLAB. Communication: Excellent writing and presentation skills for technical and non-technical audiences. Preferred: Knowledge of electricity markets, renewable energy policies. We
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
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or forthcoming in peer-reviewed neuroscience journals 4 + years of experience with animal experiments Preferred Qualifications Mastering patch-clamp electrophysiology Experience with RNA-seq Experience with MATLAB