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Field
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assays, immune‑cell trafficking, and spatially resolved tumor–immune crosstalk. Lead image and data analysis, including programming in Python and experience with ImageJ/Fiji, to process microscopy data and
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) and/or techno-economic assessment (TEA). Familiarity with Python and optimization techniques. Excellent written and oral communication skills in English. Ability to work independently and as part of a
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science/AI, bioinformatics, or related fields. Strong research capability, interdisciplinary communication skills, and proficiency in scientific English are required. Experience in AI/ML, programming (Python/R
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programming languages and tools is required: Stata, R, Python, and LaTeX. Familiarity with NVivo, SPSS, GeoDa, and Mallet for computational text analysis is a plus. Solid knowledge of economic analysis as
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, or molecular self-assembly. Programming and data analysis skills (e.g., MATLAB, Python, C++, or similar). Good verbal and written communication skills in English. WHAT WE OFFER We are offering a 1-year
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) Proficiency in programming and data analysis tools (Python, R, MATLAB, SQL or similar) Ability to work independently and within an international multidisciplinary team High level of English Specific
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to interdisciplinary discussions Office, GIS (Arc/Q), R, Python (basics) English, Spanish (Italian, German, Dutch, Polish beneficial) Strong experience with spatial assessments. Early leadership experiences at junior
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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/ programming; Python highly desirable (or proven expertise in other languages). 3. Solid knowledge of statistical methods and data analysis. 4. Prior research experience with Machine Learning is a valuable asset
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible