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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated
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sensing for aero-optic applications. The goal is to advance the wavefront sensing capability and include TIP/ILT estimates in the algorithm. Why should I apply? Under the guidance of a mentor, you will
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. Cleaning, structuring, and annotating the data needed to train and validate AI models. Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection
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start dates strongly preferred Duration: Initial appointment is for 1 year, with extensions (up to a total of 3 years) contingent upon performance Salary range: $80,000-$100,000 Apply here: https
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, estudio de sistemas ADCS y desarrollo de algoritmia de control de actitud, soporte a ensayos en ADCS test bench/ Mission and orbital analysis, ADCS systems studies, attitude control algorithms, support to
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22 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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associate will participate in the design and implementation of the reference data model to ensure simulation system interoperability. Additionally, they will develop AI algorithms and multi-criteria
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with benefits. Qualifications Ability to create and use statistical algorithms to answer complex research questions. (Required) Expertise in statistical analyses including generalized linear model
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 3 days ago
—including translation efficiency prediction models, RNA secondary structure analysis, codon-pair and harmonization algorithms, and immunogenicity risk prediction tools—to help guide experimental design and