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interdisciplinary team. Tasks: Assembly and annotation of phytoplankton genomes and metagenomes Further development of bioinformatic data analysis pipelines Use and further development of deep learning tools
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-183548-26 General Description PREP Research Associate CHIPS Funded Project This position is part of the National Institute
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hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must. This PhD position is part of a
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of the University of Aveiro. 6. Work plan: The work plan includes a systematic review of the state of the art on automation tecnologies in quality management systems for medical devices; analysis of existing
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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or equivalent LevelGood Research FieldMathematics Additional Information Website for additional job details https://www.impan.pl/en/job-offers/open-calls Work Location(s) Number of offers available1Company
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Design and synthesis of mesoporous zeolite catalysts for the conversion of sugars into biofuels and high-value chemicals School of Mathematical and Physical Sciences PhD Research Project Self Funded
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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interaction, social networks, fairness, and data ethics. Our research is rooted in fundamental science and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will