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datasets, registries, or electronic medical records • Strong knowledge of causal inference and comparative effectiveness methods • Experience using statistical software such as R, Stata, SAS, or Python
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. Experience using Python in a professional setting. Experience using data visualization tools (i.e. Tableau, Power BI or similar) Highly proficient in MS Office software with advanced knowledge of Excel. Strong
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, retrieval products) Strong programming skills in Python Experience in machine learning, ideally including deep learning architectures such as graph neural networks, transformers, or spatio-temporal models
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of Fortran, C,C++ under Linux/Unix, and a scripting language like R and Python. Demonstrated abilityto program efficiently on serial, vector and parallel systems, with the ability analyze and improve software
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Programming skills in Python and/or C++/Fortran Ability to work independently and collaboratively in an international research environment Excellent command of English (working language of the project
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command line Experience programming in Python, Matlab, or R Experience with ML frameworks such as PyTorch or with LLM APIs Understanding of ML fundamentals including regression, classification, neural
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analytic workflows on an active NIH-funded research grant. Applicants should have a bachelor’s degree in an analytic field (data science, AI, or bioinformatics) and demonstrate familiarity with R and Python
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practical experience at large scale facility (e.g. SR, FEL) Knowledge of programming languages, Matlab, C++ or Python For additional information, please contact Dr. Michael Meyer (michael.meyer@xfel.eu
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, Active Directory, Entra. Scripting and query languages such as PowerShell, KQL, SQL, and Python. Application packaging, Automation and device remediation. You will have a proven track record of delivering
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learning techniques is an advantage Experience with programming languages, such as R, Python, or Stata Excellent English language skills; German language skills are an advantage Your Responsibilities