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Field
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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on beaches. During the project, you will be involved in: setting up hydrodynamic coastal flow fields using SWAN, SWASH, SCHISM or a comparable model; writing python code to advect virtual macroplastic items in
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Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming: Proficient in Python. Machine Learning: Strong experience with frameworks
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-ordina… Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications You have skills in software design (Python, C/C++) and mastery of simulation
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imaging surveys Experience with computational astrophysics, including Python-based data analysis workflows Appointment Details The position is available beginning June 1, 2026, or earlier by mutual
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computational workflows for large datasets Demonstrable experience in managing, deploying and documenting Python packages Downloading a copy of our Job Description Full details of the role and the skills
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transport, buildings, and industry sectors. *Experience with managing, processing and analyzing large datasets. *Strong programming skills, particularly Julia/JuMP and/or Python. *Strong scientific writing
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Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated datasets, and strong programming in Python
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding