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machine learning. Strong proficiency with R/Python and machine learning frameworks (e.g., PyTorch, TensorFlow). Prior experience with workflow management tools (e.g., Snakemake, Nextflow). Familiarity with
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single-cell and immune-profiling approaches, linked to clinical phenotyping, to discover early biomarkers and patient-stratification tools. Work side-by-side with neurologists on patient inclusion and
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to clinical readouts and α-synuclein reactivity. Use cutting-edge single-cell and immune-profiling approaches, linked to clinical phenotyping, to discover early biomarkers and patient-stratification tools. Work
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well as the analysis and annotation of links between her reading and her writing. You will report to the project’s PI on a weekly basis and are prepared to travel to the relevant holding libraries to help set up
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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well as the analysis and annotation of links between her reading and her writing. You will report to the project’s PI on a weekly basis and are prepared to travel to the relevant holding libraries to help set up
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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. Please note the following date in your calendar for the interviews: December 3rd and December 4th , 2025. If you have any questions about the online application form, please check the frequently asked