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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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Apply Now Responsibilities* In the field of clinical pain research, design studies and projects to generate preliminary data and develop and implement Statistical Analysis Plans (SAP) for newly
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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, complex analysis, math physics Salary Range: EUR 2,585 to 2,720 a month Appl Deadline: (posted 2025/04/26, listed until 2025/10/26) Position Description: Position Description The Department of Physics and
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developing their multi-disciplinary research skills in systematic reviews, metabolomic analysis of food products and conducting human volunteer physiological trials. The collaboration involves a project
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component
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datasets, and geospatial analysis outputs of the project. Technical support from the RUG Geodienst is available. Contributing to the development of theoretical frameworks within the project, potentially
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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