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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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strain engineering is a plus. Data analysis skills (e.g. in Python, MATLAB or similar) are a plus. Excellent communication skills in English, both written and spoken Strong motivation to work
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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subsurface and internal temperature distributions. Semi-destructive approaches, such as embedding thermocouples by drilling holes, can provide internal data but often disrupt the process, alter the thermal
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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occur, and how can the overloading of individual regions be counteracted? Your contribution to scientific analysis: Further develop existing energy system models in Python to accurately map and analyze
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dynamic environmental conditions; Integrate empirical data analysis into conceptual models to investigate how altered conditions due to offshore wind farms may lead to broader ecological impact across
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of techniques for the analysis of topological data. Targeted activities in the field of public relations are also planned. The activities will mainly be based at the Institute of Scientific Computing
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technology integrated with a cloud-based platform for real-time data analysis and remote expert consultation. The goal is to create an explainable AI-assisted monitoring system that improves decision-making in
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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