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for a research assistant (m/f/d) - pay grade 13 TV-L, 65% for a limited period of three years. Your tasks: You will be working on a multidisciplinary project that aims to develop and test an mHealth
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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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. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and
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(Lüneburg). The successful candidate will support the project by developing and testing models of multimodal communication in great apes, focusing on gestures, vocalizations, and facial expressions
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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measuring stand for the collection of hyperspectral data on a test field Collection of imaging data and creation of a database Establishment of a data processing routine for pre-processing the hyperspectral
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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for the induction of abiotic and biotic stress factors in a defined, compact test system (Phenowell®) on Arabidopsis thaliana Multimodal recording of stress symptoms using the following and possibly other methods: o
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for testing innovative and sustainable technologies are to be designed and implemented in this network. The aim is to put scientific findings on the road with partners from the region! Your tasks
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areas: software testing, runtime monitoring or diagnostics combined with a desire to embed these in today's assurance processes. Knowledge of software development methods (especially agile methods such as