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on histopathology image data. As a postdoctoral researcher you will be involved with development and validation of AI/deep learning solutions for precision medicine and patient stratification (patient outcome
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are two important stress factors that have gained attention lately, however, their combined effects remain poorly understood. In this project, the postdoctoral fellow will quantify the biophysical stress
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the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated (at compile-time) to evaluate
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required. The coordinator should therefore have a basic understanding of each of these areas in order to effectively manage and align the collaborative efforts. In addition to this project, the role will
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at least one of the areas of data privacy, machine learning is required. A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of
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with modern machine learning and AI technologies to effectively address large-scale problems. About the research project We are seeking a highly motivated Postdoc to join our group in developing
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software engineering, Investigating and prototyping future use cases of GenAI agents, Developing and evaluating human-in-the-loop workflows for GenAI-supported development, Analyzing the effectiveness
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have been ongoing since 2017 to monitor the effects of decreased water inputs to the system. In addition, the project has maintained a nearby long-term monitoring site in a pristine TMCF forest since
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manner. You are structured, planning, organizing and prioritizing your work effectively. You set and meet deadlines, are accurate and well aware of objectives and quality standards. We value the qualities
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qualities will be highly valued. We are looking for a candidate with a positive attitude, strong interpersonal skills, and the ability to collaborate effectively in a multidisciplinary team setting, as