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developed python-based EM forward operator. Contributing to the development of a freeware software package that offers both forward and inverse modeling capabilities for FEM and TEM data. Collection of FEM
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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Composer Studio. · Solid understanding of programming languages, particularly C# and Python. · Proficient in control systems design and analysis using MATLAB. · Excellent communication
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global
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processes Strong experience in working with large datasets and advanced programming skills (e.g., Python, MATLAB, R) Knowledge of biological and biogeochemical processes in the biological carbon pump
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. · Implement a Python-based workflows for automated execution of numerical simulations for parametric studies and design optimization. · Supervision of the development and manufacturing of physical
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analysis Knowledge in programming languages such as Python. The candidate will work in a very ambitious interdisciplinary setting, which will require high flexibility. Fluent oral and written communication
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scripting language (Python or R) database development, maintaining & sharing code repositories. Curiosity to solve fundamental biological questions and enthusiasm to lead new independent projects. Ability
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models, bioinformatics skills (R, Python), background in T cell immunology, and a publication record in immunology/epigenetics. Information on our postdoctoral training program, benefits, and a virtual