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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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laboratory work (DNA extraction, PCR, sequencing workflows) Bioinformatics and statistical analysis (e.g., R or Python) Biodiversity assessment or ecological community analysis Fieldwork experience in
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at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development
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bioinformatics and experience or interest in data analysis or the physiology of the human body, including heart, kidney and gut microbiome. The job can potentially be continued in a PhD position. As a person, you
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- cancerous- and neurodegenerative diseases. In the project, patient cells, model- and reporter-minigenes, gene editing and animal models, as well as in vitro RNA binding techniques and bioinformatics will be
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Experience with yeast physiology and advanced molecular biology. Experience with HT-screening devices and bioreactors. Bioinformatics knowledge (e.g. proteomics, RNAseq, genomics) DC9: Enhanced sustainable
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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. Strong interest in and understanding of bioinformatics. Good communication skills in English, both written and oral. Experience with international collaboration and the ability to work effectively in