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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 11 days ago
to research in computer science and mathematics. 400 R&D engineers support research scientists by developing software tools and platforms that help the research process and the experimentation. Spirals
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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
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(“X0,000 PLN gross, i.e. the approximate net amount is X,000 PLN”): 4000 PLN/month Start date: 01.10.2025 r. Employment period: 12 months (with the possibility of extension for another 36 months
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness to participate in sea
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, and often visiting, one of the foremost GaN R&D groups in the world, part of TNO in The Hague. This group is the leading group on phased-array technology, now already for more than 30 years. For phased
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data analyses includes writing well-documented, reusable code (Fortran, Python or R) Collaborate closely with fellow PhDs and project partners in an interdisciplinary context Present, publish and
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conducting human studies with human participants including participant recruitment, data collection, and management of data Advanced skills in statistical analysis using software such as R, STATA, or SPSS