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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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bioinformatic analyses are required. Interest and prior practical experience in genomic analysis and bioinformatics is preferred. We are seeking highly motivated, creative, and ambitious applicants with
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localised economic gains. These contrasting findings highlight the current uncertainty surrounding the specific impacts of AMOC weakening on human societies. In this PhD project, you will use models and data
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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Description The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research
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analysis; experience with multivariate data analysis is considered an advantage. Excellent communication skills in both written and spoken English. Flexibility, self-motivation, and the ability to work
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21 Aug 2025 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions