200 web-developer-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral positions at Nature Careers
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, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based
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, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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Prof. Fabrizio Pastore (principal investigator for MORTAL). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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in nanotechnology may also be considered. The Zhang laboratory functions as an integrated translational research program with the goal of designing and developing new immunotherapies and immunologic
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Intelligence (AI) approaches and methods with the long-term objective of improving clinical cancer care. The training, project development, and application will be mentored by Dr. Peter Nelson and Dr. Jeff Leek
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas