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required. Familiarity with analysis of transcriptomic data, including work in R, Python, or similar environments, will be considered a strong asset. The key requirement is the ability to take ownership
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and/or Python Ability to work in a challenging and international environment COMPENSATION PACKAGE A yearly gross salary up to 35.000 EUR Private health care coverage depending on your role and contract
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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level. For analyses and model development, you will work with programming languages such as R, Python, and GAMS. You will work with existing micro‑economic simulation, optimisation, and emission models
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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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the Geosciences Department at ENS-PSL. Its aim is to develop research actions that meet the objectives of the DASE, drawing on the expertise of the teams in the Geosciences Department at ENS-PSL, and in
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good collaborative skills It is an advantage with experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og