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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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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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be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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initiatives. Produce custom software solutions with DevOps engineers and Bioinformatics Scientists to develop and deploy advanced processing & analytics techniques and machine learning applications for Multiple
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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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of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by an NIH/NIGMS R35 grant and intramural funding. The successful candidate will engage in bioinformatics
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Focus: Key disciplines include, but are not limited to: Oncology, Aging Biology, Hematology, Bioinformatics, Cell Biology, Biochemistry & Molecular Biology, Regenerative Biomedicine, Basic Medicine
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translational medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital
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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