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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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Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings
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candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while introducing recyclability and regulatory compliance. Your Tasks: Develop and characterize
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Software Engineering which will focus on Microservices Architecture and Cloud-Native Systems, offering an exciting opportunity for a dedicated researcher to contribute to cutting-edge studies in the field
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upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further
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modeling software Programming in Matlab, Python You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will
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FAccT, KDD, SIGGRAPH, ACM Multimedia) Strong written and verbal communication skills in English Strong background in mathematical modelling and analysis Proficiency in software implementation
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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-supported and performance-driven design methods in architecture, available from 1st of March 2025 or as soon as possible thereafter. Your work tasks The PhD stipend is financed by Aalborg University as part
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behaviors is particularly challenging due to inherent path dependence and the evolution of unobservable internal state variables. The objective of this PhD is to propose novel hybrid modeling architectures