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Field
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"The Martian Mindset - A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and was established at the University of Bremen in 2026. In this context, a position is available as soon as
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-physics optimisation, ultimately delivering prototype-oriented design methodologies for future industrial applications. Who we are looking for: We are seeking an enthusiastic and self-motivated candidate
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
, images, preferences or contextual data, and the server side, where agentic systems generate action plans, exchange data between agents, and invoke external tools and APIs. Research Objective: The thesis
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systems from concept to prototype. Excellelent English skills and good German skills are required. Your German language skills can be further developed during your phd. What we offer We offer you an
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this announcement extends these strengths toward an integrated research program on the neural circuitry of craving, reward, and addiction. This work is anchored by an NIH-funded Imaging & Behavioral Neuroscience Core
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laboratory for the first time. You will make use of laser Doppler and hot-wire anemometry in the 10x5 wind tunnel (the flagship of the National Wind Tunnel Facility). You will conduct particle image
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contouring of organs at risk to be protected, dosimetry evaluation, and image monitoring prior to treatment administration. • Explaining possible side effects of the treatment to patients. • Immediately report
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis
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. By employing and advancing existing cell culture model systems, combined with state-of-the-art readouts including transcriptomics, epigenomics, metabolomics, flow cytometry and imaging, this project
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investigates a radically new paradigm for Embedded AI: enabling devices to dynamically compress and adapt neural networks directly on-device after deployment. Inspired by how humans continuously optimize