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Responsibilities · Plan, design and execute research studies, procedures and protocols. · Assist with IRB protocols, participant recruitment, data collection and analysis, and documentation. · Prepare conference
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 18 hours ago
-end electronics developments for beyond the HL-LHC upgrade. There will also be opportunities to participate in the ATLAS data analysis and in teaching at the university. A PhD in particle physics and experience
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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include conceiving and executing greenhouse and laboratory studies, regarding, but not limited to, reference genome assembly for weed species, bioinformatic data analysis, weed biology, and phenotyping
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23 Sep 2026 Job Information Organisation/Company Gustave Roussy Department INSERM U1279 Research Field Biological sciences » Biological engineering Physics » Biophysics Engineering » Biomedical
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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enables the visualization and analysis of data collected from Panel 8 of the Benguerir mine. Main Responsibilities The successful candidate will be responsible for: • Designing and conducting research
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analysis of metabolites; process and evaluate experimental data; develop and validate analytical methods; prepare scientific manuscripts; collaborate with internal and external researchers; Where to apply E
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will be needed. Technical expertise in modern chromatography methodologies and techniques, good computer skills and data analysis experience are all desirable. The best candidates will have excellent
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scientific software for data analysis and figure preparation (e.g., GraphPad Prism, FlowJo, ImageJ, EndNote or equivalent). Commitment to rigor, reproducibility, responsible conduct of research, and compliance