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methods Data analysis, and programming (Python) Experimental membrane biophysics What We Offer: 4-year fixed-term contract (1 + 3 years, 75% FTE, ~39 k€ gross/year, benefits, paid leave) State-of-the-art
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ecology. A strong quantitative mindset is essential, including good skills in data analysis using R, Python or similar tools. Experience with trophic ecology and Bayesian approaches would be an advantage
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, or a related field. The successful candidate will have a strong academic track record and either a solid theoretical foundation or experience with computational methods. Experience in data analysis and
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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experiments, and with data analysis. You also possess: A successfully completed MSc degree in environmental sciences, water technology, biotechnology, chemical engineering, biobased sciences or a closely
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forums and published in peer-reviewed academic journals. Collects data and conducts statistical analysis. Conducts literature reviews and performs research. Uses subject matter and best practices knowledge
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
2 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Energy and Process Engineering Research Field Engineering » Process
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17 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Researcher Profile First Stage Researcher (R1) Application
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
advantage. The ideal candidate enjoys precise experimental work, quantitative data analysis, and collaboration across materials science, optics, and device engineering. Ability to work in an interdisciplinary