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independently and as part of a team Preferred Qualifications Experience in graph-based AI models, multi-omics data integration, or network inference Background in epigenomics, gene regulation, or aging biology
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with mechanising theory and/or practice
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to the Danish PhD degree in natural or medical science. Excellent scientific track record, including at least one publication in a high-quality, peer-reviewed international journal. Pre-prints can be counted
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, computer science, statistics, epidemiology, psychology, public health, psychiatry or a connected field Excellent research track record, including at least two first-authored peer-reviewed publications relevant
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) Proven record of independent and innovative research, with strong problem-solving abilities Track record of publication, including at least one first-author paper in an internationally recognised, peer
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area of employment is Aarhus University with related departments. Contact information For further information, please contact: Tenure Track Assistant Professor, Sonal Shreya, +45 93522648, sshreya
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. The affiliation will be with Land-CRAFT, Department of Agroecology. More information can be obtained from Tenure-Track Assistant Professor Sheng Wang (e-mail: swan@agro.au.dk ; Phone +45-9350 8301), Associate
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personal and team-work skills. Priority will be given to applicants with strong and proven track record in NMR-based structural biology. Who we are The Interdisciplinary Nanoscience Center (iNANO
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least