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- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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accepted for publication. Expected skills Proficiency in programming (R, Fortran, Python) and the ability to learn new programming languages, develop code, and analyze data. Knowledge of GIS tools and
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate
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closely related field. Fluency in English (written and spoken). Proficiency in quantitative data analysis (e.g., R, Python, SPSS, or equivalent). Track record of publications in peer-reviewed journals
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programming (e.g., Python, R, MATLAB) Experience in scientific writing and manuscript preparation for peer-reviewed journals Ability to work independently and collaboratively in an interdisciplinary team
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education at the doctoral school is suspended). Additional desired qualifications include: Good programming skills (e.g., Python, Fortran, C, or C++); Familiarity with star cluster dynamics, stellar or binary
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., Python, C, MATLAB). Basic knowledge of Windows and Linux operating systems. Valid Category B driver’s license and driving experience. Good command of English (both written and spoken). Ability to work
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties
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languages C++, Python, and engineering computation environments such as MATLAB/Simulink; Knowledge of tools: Git, CI/CD, Jira, SystemWeaver, TargetLink, StateFlow, Latex; Experience in interpreting results
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particle physics phenomenology -programming in C++ and/or Python -fluent knowledge of English language Welcome: experience in Monte Carlo methods and statistical modeling experience in QCD phenomenology
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/containerization platforms and the ability to run tasks using the SLURM queuing system. Proficiency in basic programming languages (Python, R, Bash scripting). Knowledge of tools for genetic variant analysis