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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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considerations. To achieve these research objectives, we will develop appraisal portfolios differing by their fairness perspectives and focused population groups. Then, we will implement bi-level network design
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Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering
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find information on the remit of the Unit here on our homepage. Tasks The German Centre for the Protection of Animals Used in Research (Bf3R) promotes and develops alternative methods to animal
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or for the Germany ticket More information on about the IGZ you can find under www.igzev.de . For questions, please contact: Dr. Eric Bönecke (+49(0)33701 78 223, boenecke@igzev.de). We encourage a healthy work-life
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of the individual dissertation topic through study of the literature and in making the objectives more precise; working on the individual PhD study project with its focus on Reinforcement learning for mode choice
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for applications is open until July 15, 2025. For further information and in order to apply, please visit the online jobs portal https://stellenausschreibungen.uni-wuppertal.de . There, you will find the official
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spectroscopic and imaging methods for the contactless detection of plant conditions. The position is being advertised as part of the joint project ‘LaserRoots: A new way for the sustainable production of climate
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methods for the contactless detection of plant conditions. The position is being advertised as part of the joint project ‘DHYNAmite - Integrative plant protection through drone-based hyperspectral