24 parallel-processing-bioinformatics Postdoctoral positions at Nature Careers in France
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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
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or bioinformatics will be an asset. Prior experience in brain tumors is not required, and we encourage applications from diverse backgrounds. The candidate will collaborate closely with a research engineer and a
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at some point during the selection process Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30/06/2025
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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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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process. Your responsibilities: Contribute to the design, development, and evaluation of EVITA training programmes and micro-credential courses within the project Conduct research on the integration
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letter Names of at least 2 reference letter writers Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30
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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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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