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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
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2027 for 19,5 hours per week. The research associate will be working in project “AGEAI: Ageism in AI: new forms of age discrimination and exclusion in the era of algorithms and artificial intelligence
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/d). Project overview Protein design is a rapidly evolving field, with machine learning taking an increasingly important role in the development of novel protein biotechnologies. Yet, computer
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. Volker Haucke. The successful candidate will collaboratively apply and develop proteomic approaches to study the protein composition of organelles at the nanoscale level to unravel how cellular organelle
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peptides and proteins, into cells - a key hurdle in developing new treatments for cancer and other diseases. This should be accomplished over the course of the next 6 years using superchaotropic boron
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of translational neuroimmunology Development of independent research strategies and their realization This position is initially limited to three years as part of a third-party funded project and can also be filled
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dipole traps - development of methods to control the atomic density for quantum memory applications - tasks for personal scientific qualification (doctorate) Requirements: - completed
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into solutions with tangible societal, economic, or public impact. Residents develop and lead their own high-quality research project within the dynamic IPAI ecosystem in Heilbronn. Key Features: Full-time
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early-career researcher in developing an independent research program in semiconductor quantum photonics, with the goal of securing an ERC Starting Grant. The vision for our group We are advancing
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field with comparable expertise by the time employment starts Desired: Interest in interacting with scientists across disciplines Scientific enthusiasm and curiosity Well-developed communication (verbal