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Job Description We are looking for a postdoc who can help establish a national infrastructure for the collection and sharing of biomedical health data in Denmark, named "The Biomedical Data
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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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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and
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(Compute Data) Efficient at working with large datasets and synthesizing scientific literature Project management Self-motivated and deliverable-oriented Ability to work both independently and as part of
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carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create engaging, science-based training materials in both English and Spanish
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sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley. Ideal candidates will be
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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research
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skills, data management and analysis experience, problem solving skills, the ability and willingness to lead and organize a large research effort, and will work productively and enthusiastically with
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Sequencing data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinsonâ™s disease, and other