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Open nowPosted 47 hours ago

Internship

EURES job mobility portal552,729 open roles

Where
Groot-Amsterdam, Netherlands
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Your applicationOpen nowInternshipEURES job mobility portal · Groot-Amsterdam, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

9.6% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.6%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 47 hours ago

EURES job mobility portal median: 6 days open

The posting

Internship: Data Science Nostics Full-time Amsterdam, Netherlands About the internship Nostics is developing a next-generation diagnostic platform for rapid detection and identification of bacterial infections. As part of a Eurostars project, we are working on using our technology for bloodstream infection diagnostics, combining advanced sensing technologies with data-driven analysis to enable faster and more informed clinical decisions. We are looking for a Data Science Intern to develop as well as use existing data pipelines and machine learning models on data generated from a technical evaluation study with two European hospitals. What You'll Do - Process and analyze spectral or high-dimensional biological data generated from clinical blood cultures - Support development and evaluation of machine learning models for classification and pattern recognition - Explore feature extraction and dimensionality reduction approaches (e.g. PCA, UMAP, clustering methods) - Assist in building reproducible data pipelines for preprocessing, annotation, and model training - Contribute to benchmarking and validation of models against experimental datasets - Help document workflows and results for internal use and project reporting (Eurostars) Who you are - Enrolled in an MSc in Data Science, Bioinformatics, Biomedical Engineering, Computer Science, or a related field - Strong foundation in Python (e.g. NumPy, pandas, scikit-learn) - Familiarity with machine learning methods and data analysis workflows - Strong analytical thinking and ability to structure and communicate results clearly

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