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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
operates one of the world’s most productive facilities for the structural analysis of macromolecular structures at the synchrotron radiation source BESSY II. To efficiently analyze the large volumes of data
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Flexible working hours as well as a reasonable remuneration A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
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or related with strong bioinformatics background) (m/f/d) with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as
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Your Job: • Addressing socio-technical research questions in the context of the transformation of the German energy system • Analyzing microdata (e.g., survey data, digital behavioral data) and
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reality can be restored and sustained in the face of increasingly polarized information environments and the widespread dissemination of misinformation. The project addresses two main research questions
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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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research on soil invertebrate communities. About the Project: Soil is a large reservoir of greenhouse gases (GHG). It can sequestrate or release potent GHG (CO2 , CH4 and N2 O). Soil invertebrates partake
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Dynamics (W-0041 | all genders) in the broad field of climate dynamics. Areas include, but are not limited to, cloud-circulation coupling, climate feedback and sensitivity, polar climate change, and large
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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic