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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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to efficiently identify materials with optimal mechanical properties and controlled degradability. The primary task is to develop techniques for synthesizing degradable polymers and copolymers using ring-opening
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research contractors. Through the design and characterization of new materials, the laboratory's approach leads to the optimization of a wide range of properties for targeted applications. The position is in
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21 Aug 2025 Job Information Organisation/Company BRGM Research Field Geosciences » Hydrology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country France Application Deadline
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of unlearning in artificial systems. Unlearning is crucial for biological organisms to adapt and remain flexible in dynamic environments, as well as for machines to optimize output integrity by shedding outdated
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a family of specific peptide substrates for the PKs of interest (PKs of the JAK, GRK, IRAK, RIPK and ERK/MAPK families) (2) developing and optimizing fluorescent peptide biosensors from the identified
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laboratory. In a second step, the PhD student will focus on identifying the key plasma control parameters that influence brightness, aiming for optimal spatial and temporal control. Finally, spatial shaping
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» Applied mathematics Engineering » Process engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 17 Oct 2025 - 12:00 (Europe/Paris) Type
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We are seeking a highly motivated postdoctoral researcher with the following qualifications: • PhD in Mathematics, Computer Science, or a related field. • Solid background in optimization and/or