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the crossroads between the fields of robotics, signal processing and machine learning The candidate will explore how graph-based representations of acoustic scene information can be leveraged to model
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evaluation of FAPI-based radioligands, focusing on their imaging and therapeutic potential. Key tasks include: Designing, planning, and executing preclinical experiments in cell and animal models of cancer
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responsibilities: We are seeking a highly motivated Postdoctoral Researcher to join our team. The successful candidate will contribute to the in vitro and in vivo preclinical evaluation of FAPI-based radioligands
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the European Research Council. You will develop and apply NLP methods (application and development of neural network–based models for tasks such as relation extraction, entity identification, classification, and
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-hydrated alkali-silicate melts that enable efficient zeolite formation under mild conditions. Molecular modeling and experimental characterization show that the type and concentration of the alkali cation
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from literature and of defining research objectives. You have passion for science, self-motivation, flexibility and team spirit. Experience with techniques such as cell culture, CAM model, qRT-PCR
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-motivation, flexibility and team spirit. Experience with techniques such as cell culture, CAM model, qRT-PCR, fluorescence microscopy and/or bioinformatics would be a plus. Your teaching competences are in
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studies. The PhD project will explore systemic and mucosal immune mechanisms in response to challenge agents or vaccination, using cutting-edge technologies to identify molecular signatures and pathways
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controlled environment for studying zeolite formation. HSILs are homogeneous, hypo-hydrated alkali-silicate melts that enable efficient zeolite formation under mild conditions. Molecular modeling and
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. Clinical studies have demonstrated that hereditary neuropathies can also involve muscle pathologies, complicate diagnosis and hamper therapy development. We have developed advanced in vitro cell models