59 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions at DAAD
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plant genetic mechanisms that coordinate mycorrhizal interactions with plant P and water status, root system development, and soil microbial communities. Using maize and rice as models, we will: 1
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://concert-japan.eu/research/advanced-multimodal-sensing-and-data-fusion-for-early-digital-detection-of-plant-stress-symptoms/ The focal topics of the sub-project include: Development of experimental protocols
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website: https://www.isse.tu-clausthal.de/. Your tasks are Research and development in the above mentioned topics. Design and implementation of prototypes. Publication of your results at national and
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calculation of mixture toxicity Development and application of chemical analytical methods Application of physiology-based kinetic (PBK) modelling for the extrapolation of in vitro to in vivo concentrations
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systems (MPS) Development and application of chemical analytical methods Testing of whole mixtures and single substances and calculation of mixture toxicity Participation in the preparation of scientific
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to contribute to sustainable development. training future academic and professional leaders, qualified professionals’ involvement in the solution of development-related problems in Latin America graduates
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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an adviser in the Studienstiftung’s office and a personal tutor at their home university, who follow their academic and personal development and offer guidance on issues relating to their scholarship and
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research expertise while also developing their clinical skills. Receive exceptional training for a successful career in research, clinic, and academia! Structured curriculum: Core Courses | Lecture Series
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry