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                -camera sensing is considered a strong asset. ● Experience with scientific computing in Matlab, Python, or Julia is required. ● Excellent proficiency in the English language is required, as well as good 
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                Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data 
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                . Programming experience in Python. Excellent communication skills and fluency in English. Collaborative personality with attention for detail. Bonus but not required Experience with training and validating 
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                systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and model development. Ability to work 
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                ). Background in modeling of dynamical systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and 
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                background in biomaterials, soft matter physics, biophysics or active matter physics will be given preference. Experience or knowledge in quantitative imaging and image analysis (MATLAB or Python), machine 
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                dimensionality reduction as well as analysis of blood proteomic data. We are looking for a student with experience in bioinformatics and relevant statistical methods using R or Python languages. Some knowledge of 
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                , or cybersecurity Ability to develop prototypes in Python (e.g. with PyTorch, LangChain or similar frameworks) Familiarity with LLM prompting, RAG pipelines, or goal-driven agentic workflows is a plus Excellent 
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                language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines 
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                with or experience in any of the following topics is valuable: optics (lab work, design), mechanics (e.g. CAD software), software (e.g. Python scripting), astronomical/spectroscopic data reduction and