46 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" Postdoctoral positions at Nature Careers in Denmark
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modelling will focus on integrating the nitrogen cycle and GHG fluxes at the field and farm scales, thereby improving our understanding of how different management practices influence the landscape. Your work
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
, aerobic methanotrophs rely on an external source of oxygen. However, their lower limits and adaptations regarding oxygen requirements are largely unknown. The adaptations of different groups
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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differently, when a certain level of adaptation has been reached – namely when a certain level of non-economic losses and damages avoidance has been secured – a community may decide that funding is better spent
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expression systems as well as a strong background in protein biochemistry and structural biology (x-ray crystallography and cryoEM) is required. The post doc will use different biophysical techniques
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the fly platform, and reporting to the professor. This project involves different methodology including genetic manipulation, genetic screen, drug screen, microdissection, WB, IHC, and RNA-seq. Your profile
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global
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to the Bachelor’s degree programs in medicine, molecular medicine, odontology and the Master’s degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern
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, animals, humans, and the environment. We want to make a difference by contributing to both fundamental knowledge generation and the attainment of sustainable production systems via innovative research