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Field
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
’) are compared to ‘post-impact’ investigations, covering a period from days to years after simulated manganese nodule mining. The focus of the position advertised here in the third phase of the project will be
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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, this position can be filled part- or full-time. In the case of equal qualification, applicants with severe disabilities will be treated preferentially. Please send your application documents (cover letter
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
states of Germany (TV-L) Contact and Application For further information, please contact Prof. Dr. Ulrike Cress via phone: +49 7071 / 979-209 or by email: u.cress@iwm-tuebingen.de. Please send your
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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available in the further tabs (e.g. “Application requirements”). Programme Description As part of the HessenFonds, the Hessian Ministry of Higher Education, Research, Science and the Arts provides
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random