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PhD program at Saarland University. Main supervisor:Prof. Nadja Tarakina (INM, https://www.leibniz-inm.de/en/innovative-elektronenmikroskopie/ ) Co-supervisor: Prof. R. Mom (ULEI, https
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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
these limitations. By leveraging RL during the post-training phase, foundation T2V models can be explicitly optimized to follow complex conditioning signals, enforce temporal consistency, and align with specific
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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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System Models. The successful candidates will contribute to the development, integration, and performance optimization of a state-of-the-art modelling framework, enabling increasingly sophisticated
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biogeochemical modelling in Earth System Models. The successful candidates will contribute to the development, integration, and performance optimization of a state-of-the-art modelling framework, enabling
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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1st August 2026 Languages English English English We are looking for a PhD Candidate within Integration of Justice and Socio-Environmental Risks into Wind-to-Hydrogen Energy Modeling Apply
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transportation simulation, optimization and management. Motivated to develop and to teach curriculum in supply chain sustainability. Strong demonstration of interest to develop supply chain security, supply chain
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experimentation. By integrating advanced robotics, intelligent workflows, and multidisciplinary expertise, HTMR enables researchers to rapidly design, synthesize, and optimize materials and processes across fields