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Field
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essential in numerous everyday applications such as lighting, displays, and detection systems. A current challenge is to develop multifunctional, stimulusresponsive materials capable of meeting various needs
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collaboration, dedicated to the direct detection of dark matter. They will contribute to various activities including data taking, data analysis, and Monte Carlo simulations. The candidate will be involved in
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variations over time. The energy efficiency of the solution will have to be evaluated at the level of the entire life cycle of a data center. The final objective is to use these mechanisms with sobriety in
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medium for the extraction of polymers in the molten state. The objective of this work is to improve the understanding of the mechanisms involved during this step, which relate to two-phase transport in
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models have recently been developed to specifically detect these biotic interactions using large phylogeny and trait datasets (see Drury et al. 2021). In this project, the Postdoc will study whether biotic
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biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential machine learning applications. Position Objective
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and possible sources of exposure. Key Skills, Experience and Qualifications PhD in the field of Analytical chemistry/toxicology. High technical skills in analytical chemistry applied to the detection
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Candidate Profile Required Technical Skills - Proficiency in Unity 3D development - Object-oriented programming (C
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contract is part of a collaborative project aiming at the fabrication of dense clusters of plasmonic nanoparticles and polymer with non-linear optical properties. The objective is to demonstrate
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. Objective This postdoctoral research aims to develop and implement a robust optimization framework for strategic fleet renewal planning under deep uncertainty. The overall goal is to support decision-makers