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geriatric epidemiology, eating disorders, precision medicine, and biostatistics. Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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the interplay of neurodegenerative diseases and aging, improve the early detection of affected individuals, and identify novel drug targets. Part of the work will be conducted within the international
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will be part of the project group ''Cancer Biology in Silico '' led by Chloé B. Steen, with strong collaborations with researchers at Oslo University Hospital, University of Oslo, and Stanford University
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campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates
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pharmaceutical leader. Responsibilities and qualifications The project will be conducted in the inspiring environment at the Section of Bioinformatics at DTU Health Tech as part of the IML research group led by
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is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants
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. The studies will involve comprehensive mapping of neural networks, cell tracking within the CNS as well as molecular profiling and manipulation of regeneration. The successful candidate will be part of a highly
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tailored solutions to industry, research centers, and universities, addressing critical challenges in energy, microelectronics, life sciences, and industrial processes. Within the SIPT Unit, you will be part
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integrating several of the following components: Deep learning and LLMs for molecular biology Multi-omics datasets (e.g., TCGA, TARGET, CCLE) Single-cell and spatial transcriptomics/proteomics High-throughput