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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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Job Description Do you want to contribute to the development of new solutions for prevention and treatment of food allergy? If you have knowledge within the area of immunology and bioinformatics as
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development and application of single-cell proteomics by MS (scp-MS) workflows Advanced computational/bioinformatics analysis skills Experience with mammalian cell culture techniques, ideally including
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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quantitative Mass Spectrometry-based proteomics methods for this project. The successful candidate will work closely with experts in bioinformatics and in cellular signalling to make informed decisions on data
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handling and cell sorting equipment (e.g. iDOT or CellenOne) Fundamental knowledge about FACS and other cell isolation / analysis techniques Sufficient level of computational / bioinformatics analysis