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and coordinate with customers and vendors. Ability to perform network troubleshooting, diagnostics, and failure analysis for complex network and connectivity issues. Required Qualifications Bachelor’s
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or vibratome, and immunofluorescence staining. Experience in mouse behavioural tests and analysis. Excellent organizational skills Interest in working within a International and collaborative network FELASA B
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and scope of MS research. This PhD project employs advanced network analysis and Large Language Models to develop predictive models for MS progression. It involves constructing and analyzing a complex
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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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, the accuracy and efficiency of the solution depend critically on how the mesh is distributed relative to the underlying physics. Features such as boundary layers, shocks, vortices, thermal gradients and
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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Network Analysis. Preferred Education: Master's degree If any degree/training is preferred, please specify the type: Public Health, Public Administration, Social Sciences, Healthcare, or related field
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the Experiential Liberal Arts. Through its research, teaching, and engagement missions, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities
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innovation? Are you eager to work with Social Network Analysis models (statistical and/or agent-based)? Do you want to be part of a larger lab of researchers? Information You will be a postdoc within ILUSTRE
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us