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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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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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- 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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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
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analytical equipment and microfluidics platforms. Strong interest in and understanding of bioinformatics. Good communication skills in English, both written and oral. Experience with international
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: Data Mining Machine Learning Bioinformatics The successful candidate will contribute to advancing state-of-the-art in data mining and machine learning research with applications in computational biology
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interface of microbiology, chemical ecology, bioinformatics and drug discovery, contributing understanding that can support development of new antibiotics against Gram-negative bacteria. The project is funded
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two-year master's degree (120 ECTS points) in Biotechnology/Systems Biology/Bioinformatics or a similar degree with an academic level equivalent to a two-year master's degree. We offer a supportive