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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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with extension options. The candidate will lead a collaborative project with Harvard Medical School, supported by Paris Brain Institute America , aimed at addressing glioblastoma resistance and
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ICR groups. There will be a possibility to collaborate with local spin-offs. For further information, you can contact Dr. Réka Markovich () and Prof. Leon van der Torre (). Your profile A PhD in
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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nuclear integrity in human cells. These fundamental biological processes are crucial for organismal development, and their dysregulation is linked to many devastating human diseases. Project: Recent work in
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. one page) Writing sample (e.g., PhD thesis) Copies of diplomas Contact details of three academic referees Early application is highly encouraged, as the applications will be processed upon reception
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modelling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings together a
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alteration processes. Key references: i ) Ionizing radiation exposure on Arrokoth shapes a sugar world. PNAS 121, e2320215121 (2024). ii ) Uncovering the chiral bias of meteoritic isovaline through asymmetric
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high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings