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willing to travel internationally for approximately 2 weeks each year. Preferred Qualifications Publication record using advanced predictive modeling techniques. Advanced knowledge of R, Python, or other
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of concepts and techniques from Quantum Information Science. - Experience with Python, Julia, Mathematica and quantum programming environments like Qiskit. Overtime Status Exempt: Not eligible for overtime
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. - Strong quantitative skills and experience coding in MATLAB or Python - Track record of publications and presentations. - Experience in mentorship and/or teaching. Preferred Qualifications • Demonstrated
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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culture, flow cytometry, microscopy, and electrophysiology Experience with R or Python Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID
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or fluency in python Excellent oral and written communication skills The ideal qualifications also include: Prior knowledge about land-atmosphere interactions, atmospheric dynamics, climate modeling, and/or
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
qualifications: A solid background in programming using Python, R, or other languages. Teaching and supervision experience at the BSc and MSc level. Interest and experience in developing competitive national and
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using Python scripts. In addition to simulating the current state of an aneurysm, the project also examines the long-term outcomes of treatments, including coiling devices, medical micro-wires inserted
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages
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well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and