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Field
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Emergence of Contemporary World Literature’ is part of an encompassing research program ‘EMLIT: Pluriactivity, Digitality, Mobility, and the Emergence of World Literature.’ Funded by the KU Leuven Research
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Infrastructures of World Literature’ is part of an encompassing research program ‘EMLIT: Pluriactivity, Digitality, Mobility, and the Emergence of World Literature.’ Funded by the KU Leuven Research Council and
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performance of materials and devices. Contribution to scalable fabrication of multi-cell devices and their validation using representative low-grade heat sources. Analysis and interpretation of experimental
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optimization of the electrical, electrochemical, mechanical, and energy-conversion performance of materials and devices. Fabrication and validation of multi-cell devices under representative low-grade heat
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 22 days ago
hypermutation in drug discovery. The project involves a wide range of techniques, with a focus on molecular and synthetic biology, complemented by analytical techniques from cell biology and chemistry. The
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
staff position within a Research Infrastructure? No Offer Description Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. One of the key factors responsible for the resistance
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About the position The exact tasks will depend on the skillset of the researcher and desired employment duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled
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generation of spatial single-cell omics technologies for precision medicine. The programme brings together leading European universities, technology providers, clinical partners and innovative companies
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the use of (multi‑modal) Large Language Models (LLMs) and other AI techniques to support the automated generation and adaptation of DWIs from DPP data. This research will explicitly assess which types