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Field
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Solid mathematical foundations and strong programming skills Proficiency in Python and experience with deep learning frameworks such as PyTorch Ability to work independently and take initiative in driving
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tumor cells, cell-free DNA, extracellular vesicles) Familiarity with single-cell omics methods (scRNA-seq, proteomics) Basic bioinformatics skills (R, Python, or similar) Experience working with patient
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AI/machine learning is a plus. Strong software skills in software packages used in experimental particle physics (ROOT, C++, Python, Git) Good teamwork and communication skills Good English language
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, Python, bash), versioning (Git) and solid knowledge of statistics Experience in developing and deploying multi-user software applications with modern programming frameworks Experience with Linux server and
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field. Strong proficiency in Python (preferably FastAPI, Pandas, PyTorch or similar frameworks); experience in web or API development; familiarity with LLMs and NLP pipelines is highly desirable
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, or a related field. We expect knowledge of mathematical modeling, numerical simulation, or control engineering, as well as programming experience, for example in Matlab or Python. Initial experience with
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, especially in quantitative subjects • Strong Python skills and experience with deep learning frameworks, preferably PyTorch • Solid foundations in machine learning, statistics, linear algebra, and model
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networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale infrastructure
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with scientific programming (preferably Python) Good understanding of synchrotron radiation and high-brilliance X-ray sources Experience in beamline commissioning, alignment, or experimental
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Experience in LLMs and developing LLM-based methods is an advantage Programming skills, ideally in Python Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment