25 parallel-processing-bioinformatics Postdoctoral positions at University of Southern Denmark in Denmark
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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bioinformatics A stimulating, inclusive, and international research environment with structured mentoring and career development support Competitive salary and social benefits according to the collective agreement
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a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler), the Helmholtz Center for Environmental Research in
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partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler), the Helmholtz Center for Environmental Research in Leipzig (Molecular Systems Biology, Prof. Martin von Bergen) and the
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collaborative and social abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen
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may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. To qualify you must have passed a PhD or equivalent
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in the assessment process. Shortlisted applicants will be assessed by an assessment committee. Applicants will be informed of their assessment by the faculty. As part of the overall assessment
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also visit WorkinDenmark for additional information. Further information about The Faculty of Engineering. Application procedure Applicants are advised to read the SDU information on how to apply
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candidate will contribute to the SECUREAM research project, focusing on enhancing cyber resilience solutions for digital Additive Manufacturing (AM) processes and workflows in close collaboration with leading