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Field
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microscopy is often limited by slow acquisition speeds and large volumes of redundant data, restricting its applicability in real-world scenarios. The goal of this PhD project is to develop a snapshot spatio
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 24 days ago
the communication and storage needed to retain most of the information. Environment. The PhD will take place at Inria Grenoble, in the Thoth team. This is a large team focused on machine learning, and
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assessments (maximal voluntary strength, walking tests, seat-and-go, balance, SPPB, etc.) would be a plus. Data analysis: Ability to process large text corpora and longitudinal data in the social sciences, at a
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan
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through the tuition remission and dependent education programs. See the Benefits home page for more information. Position Summary The University of New Mexico, Health Sciences Center, Department of
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. You are interested in learning about new, data-based options at the interface of qualitative and quantitative research (including Big Data) and, based on this, in formulating policy recommendations and
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2 Apr 2026 Job Information Organisation/Company Hasselt University Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026
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20 Mar 2026 Job Information Organisation/Company cnrs Department LEM3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun
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also include preparation of food samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, collaboration with