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Qualification: • master's in Computer Science, Mathematics, Physics, or related fields; • experience with some programming language such as Python, Matlab or Julia; • excellent analytical and problem-solving
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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in Python and a strong foundation in genome-scale metabolic modelling. This fixed-term post is available for 24 months. Our commitment to Equality, Diversity and Inclusion We are committed to enhancing
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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completion of CSC 379 or other relevant course (Algorithm and Complexity Analysis) Desired Qualifications* Experience with Colab, Python and LLMs. Modes of Work Hybrid The work requirements allow both onsite
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and Knowledge: Strong interest in (or be already skilled in) the development, application, and testing of hydrologic models. Comfortable with working in the python programming language. Knowledge and
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aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication Proactive
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static and dynamic analysis methods. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with software debugging, vulnerability analysis, and program comprehension techniques