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Desirable skills: Experience with organoids or assembloids Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in
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advantage Experience with statistical analysis, regression, or uncertainty-aware modelling Proficiency in scientific programming, particularly in Python (experience with scientific computing and ML libraries
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different scientific backgrounds. Strong statistical and computer skills including demonstrated proficiency with computer coding, such as MATLAB, R, python, and expertise in statistical modelling. Experience
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. Experience in network simulation and modelling tools (e.g. ns‑3, OMNeT++, MATLAB, Python) is an advantage. Practical experience in prototyping or testbed experimentation is an advantage. Soft skills Strong
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
skills for data treatment (e.g. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell
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. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell and tissue models (skin, lung
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, Python)—knowledge of machine learning/data science is a plus; Excellent communication and collaboration skills in an interdisciplinary and international environment; Fluency in English (oral and written