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for survival. Therefore, this project aims to map the molecular mechanisms behind biofilm formation and develop new methods to study them. The research will use both model systems and bacteria relevant
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. The analyses include e.g. data quality controls, mapping of DNA data to reference genomes, investigation of deamination patterns, analysis of sex chromosomes, analysis of mitochondrial and Y-chromosome
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areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain classification and multi-layered environment mapping - Digital twin generation for natural
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classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based
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Kubernetes Security Specialist (CKS). Deep understanding of authentication and authorization mechanisms (e.g., OAuth, JWT). Experience in designing and integrating RESTful APIs. Experience with technologies
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dysfunction. The research group has recently received major and prestigious grants that provide longer-term resources and opportunities for high impact publications. More information can be found on google
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that provide longer-term resources and opportunities for high impact publications. More information can be found on google scholar. Duties The main duties of PhD students are to devote themselves
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angle resolved photoemission spectrometer (tr-ARPES). With tr-ARPES the electronic band structure of quantum materials will be mapped following ultrafast electronic and/or structural excitations. We have
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objects, e.g. when doing a building inventory, and providing mappings and sharing data between stakeholders. These interfaces will be based on needs and requirements identified in the project use cases
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conditions. In natural ecosystems, adaptation to stress is crucial for survival. Therefore, this project aims to map the molecular mechanisms behind biofilm formation and develop new methods to study them