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of research proposals and project development activities. Required Candidate Qualification: PhD in Chemistry, Chemical Engineering, or a closely related field. Strong background in the synthesis and
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7 Sep 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Civil engineering Researcher Profile Recognised Researcher (R2
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 16 days ago
methods for microstructure generation, and uncertainty quantification approaches for model calibration and validation. Successful applicants should have a PhD in an appropriate field of study and have
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publications, conference presentations, and the supervision of junior researchers. Job requirements PhD in physics, biomedical engineering, electrical engineering, medical physics, or a closely related field
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submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a related
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Employment 0.8 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 13 October 2026 Apply now Are you passionate
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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a related
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. These studies focus in particular on health-related biomaterials, including functionalized wound dressings, targeted drug delivery systems, cancer-targeting nanoparticles, and 3D-printable biomimetic hydrogels
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Limitation:Temporary (2 Jahen) Contract:TV-L Your Responsibilities Design and conduct large-scale experimental studies with LLMs and VLMs using automated inference, prompting strategies, and reproducible evaluation