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of electrochemical systems or Li-ion battery fundamentals (or strong willingness to learn) • Experience with data analysis and scientific computing • Proficiency in Python and common ML frameworks (PyTorch, TensorFlow
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken
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functions, (3) familiarity with numerical methods, (4) development of methods within large software packages. Very good programming skills in C/C++, Python, Fortran, etc. are required. The candidate must have
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Demonstrated experience with programming languages, such as Python or R Demonstrated experience with LCA tools, such as openLCA or SimaPro Understanding of biomass conversion research and processes Relevant
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep
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and analysis, vocal recording and analysis, dataset preparation, time-series analysis, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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large-scale genomic and clinical datasets, and in developing reproducible, scalable analytical workflows and interactive visualisation tools (using scripting languages such as R/Python) within high