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Field
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is preferred; Experience with performing and/or designing
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valuable: Applied microeconometrics Health economics Environmental economics Global health Planetary health Climate change and public policy Labour economics Experience using statistical software such as
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
skills in biostatistics, including the ability to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is
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specially developed, AI-based software that enables 3D reconstructions of element distribution Complementary analysis using other advanced techniques such as SIMS, Raman, FIB-SEM, µ-CT, etc. Compilation
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of Science and Technology, University of Coimbra. I.3. Job description: integrate, adapt, and optimize open-source orbit determination software to process radar and optical data accurately and efficiently
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software. Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch). Funding and eligibility The project is fully funded by DSTL, due to funding requirement this studentship is only available
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
title or Master's degree (M2) and a background in artificial intelligence and/or statistics and/or numerical simulation. Good Python programming skills and expertise with the AI classical software stack
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that significantly improve occupant health, comfort, and overall well-being. Goals and Tasks The goal of the PhD project is to develop the hardware and software components of a smart acoustic sensing
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and