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the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work
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Development and Implementation of an Integrated and Sustainable Architecture: Application to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https://www.um6p.ma/en ) is an
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requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to
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for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring interoperability with Medical
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
complex traits. Dr Speed has developed the software package LDAK (www.ldak.org ). The position will be mainly funded by an ERC consolidator grant, aimed at finding novels ways to classify complex diseases
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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complex traits. Dr Speed has developed the software package LDAK (www.ldak.org ). The position will be mainly funded by an ERC consolidator grant, aimed at finding novels ways to classify complex diseases
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states
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architectures) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event
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hyperspectral — to support early warning, strategic situational awareness and the monitoring of emerging risks. A key focus of the fellowship will be the development of explainable AI architectures capable not