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Field
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performance in intelligent networked systems. The appointee is expected to make significant contributions to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving
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or synthetic network modelling. Experience in converting or interfacing models between different simulation tools. Experience in contributing to courses and training. TU Delft (Delft University of Technology
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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biology and genomics. The position offers excellent opportunities for scientific publishing, international networking and academic career development. Our group studies the fundamental principles
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-reviewed academic journals and practitioner magazines; Present your research at national and international academic and practitioner conferences and actively develop your (academic and practitioner) network
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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communication skills in English. Strong collaborative skills, as well as the ability to build and maintain professional relationships and research networks. We will also evaluate the following criteria when
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, engineers, etc.) and have access to many experimental facilities and a network of international collaborations. Where to apply E-mail [email protected] Requirements Research FieldAllEducation
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, comparative metabolomics, and MS/MS networking. Job Description: A postdoctoral Associate position in metabolomics and natural product chemistry is available as part of an NIH-funded project on nematode