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work-life balance. Hands-on experience with microarray design, synthesis, processing, and analysis. Training in CRISPR-Cas9 assays, both in vitro and in vivo. In the case of essentially reciprocal
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assay Cytokine multiplex analyses RT-PCR, immunoblotting, and bioenergetic profiling (Seahorse analysis) Confocal and fluorescence microscopy Luciferase reporter assays Preparing samples for high
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- 20 hours per week. Key responsibilities: Support a systematic review and meta-analysis of quantitative ex-post evaluation literature in climate policy; Conduct structured searches using academic
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, analysis, and visualization; Collaboration and discussion of research ideas; Literature search; Testing and conducting the application of Large Language Models (LLM) to social scientific tasks (e.g., text
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for collection-based research during the first two years. Your Tasks Exploration, development and implementation of methods for collection digitization and automated extraction and analysis of information from
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contribute to cumulative disadvantage in employment opportunities or can reduce such cumulative disadvantage. Your tasks and duties Support in the preparation and analysis of complex quantitative data (e.g
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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stakeholder engagement including stakeholder analysis and social network analysis. Experience in the preparation of project reports and research proposals. Experience in coordinating dissemination activities
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. This requires the coherent integration of big data, which can be highly heterogeneous and discontinuous in tropical contexts. A particular accent is put on image analysis from proximal and distal sensing, i.e
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experience in high-throughput sequencing and analysis of human cell line models to understand perturbations in cellular signaling and function in human cancer. Close collaboration with the research focus areas