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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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(v) creating data tools for analysis and scientific requirements in the team. Be willing to work in an interdisciplinary team, carrying out research in conservation science that can help address
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in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell omics data from human patient samples. Individuals with a strong
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maintaining computational tools for biological data analysis. Proficiency in programming, experience with high-performance computing and GPU acceleration tools (e.g. CUDA), and deep learning frameworks such as
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advanced computational tools to dissect the role of alternative splicing in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell
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. Your role and goals The postdoctoral position is intended for a graduated D.Sc./PhD profile with a strong interest in research (and education) of maritime risk analysis, analysis of maritime traffic
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publication record, and strong background in scRNAseq data analysis and/or multiplex immunohistochemistry analysis, together with knowledge on immunology. Applicants should be comfortable working both
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-programs-unit/translational-immunology-program-trimm YOUR QUALIFICATIONS We are looking for an ambitious researcher with a PhD, a solid publication record, and strong background in scRNAseq data analysis and