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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
provide a dynamic environment that empowers excellence with state-of-the-art technologies, cutting-edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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Researcher position in ecological networks and biodiversity conservation. The work will be based at the Viikki Campus in Helsinki, Finland. The doctoral researcher will work in the project ANEW – Arising
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The Faculty of Biological and Environmental Sciences at the University of Helsinki invites applications for a Doctoral Researcher position in ecological networks and biodiversity conservation
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activities will include: o Human Brain Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network
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, mammalian cell culture, cell-based screening and proteomics. You will also contribute to experimental planning, data analysis, record keeping, preparation of figures and reports, and presentation of results
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vulnerability analysis of electronic systems and communication protocols used in in-vehicle networks with centralized zonal topologies, in accordance with the ISO/SAE 21434 standard; Experience with
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local universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network
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Microbial Risk Assessment microsimulation approaches). Secondary analysis of existing datasets, including INTEGRATE study data on cost-of-illness. Who should apply? We welcome applicants from economics
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly