28 phd-data-mining Postdoctoral positions at University of Southern Denmark in Denmark
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years. A strong emphasis of this position is on bioinformatics, multiomics data integration, and programming, complemented by expertise in wet lab experiments (in vitro and in vivo). Key responsibilities
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describing your research interests, qualifications (including a brief description of your PhD), and motivation for applying the project in this call (max one page). A CV including personal contact information
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collect and utilize qualitative case studies and quantitative survey data from the manufacturing sector in Denmark, Germany, and Slovenia. Theoretically, the project draws on innovation management
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PhD in Molecular Biology, Cancer Biology, or a related field Expertise in molecular and cellular biology techniques Experience with in vivo cancer models Strong analytical and problem-solving skills
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, grant writing, data collection and analysis, as well as publications and outreach activities. The post doc will be daily project manager and responsible for conduct and progress of NIPH’s research
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single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep
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teaching and supervision as required Expectations of qualifications PhD in Data Science, Deep Learning, Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track
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internationally. International partners are an advantage, but not a requirement. Further information Further information about the position can be obtained from Head of Research at Anderson group Professor Ditte