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, also German Independent working style combined with high initiative and organizational skills Basic knowledge of bioinformatics would be an advantage Your Benefits An excellent scientific environment
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abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen@health.sdu.dk
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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resources Minimum Education and/or Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
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processes, their regulation and their significance for cell function, interaction and organisation in tissues. The Department offers comprehensive undergraduate and graduate teaching programs spanning cell
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and