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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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We are looking for a postdoctoral researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoctoral researcher
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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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advantages and disadvantages of a range of agrivoltaic designs on crop activity, crop vulnerability to detrimental climatic conditions, and in general ecosystem services. The postdoc will develop and use
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knowledge exchange between parties from academia, civil society, business, the public sector and politicians. The development of a Community of Practice is also one of the work packages that MDU leads in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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interactions in systems of microbial induced plant resistance. The postdoc will be part of a collaborative research project entitled ‘Mechanisms and consequences of microbial induced resistance on trophic
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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biology, cell biology and cancer. MTC have about 40 research groups and our key words are multidisciplinary, bridging, national and international collaborations. This call is part of the KI-SciLifeLab