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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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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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, 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
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, Computational Physics, Bioinformatics, Artificial Intelligence or similar. Proven knowledge of scientific English (minimum level B2). Experience in scientific programming (Python, Julia, Matlab or similar
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning