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. The project is conducted in close collaboration with researchers in mathematics, ecology, and bioinformatics. The fellow will be offered affiliation and a workspace at IceLab – the Integrated Science Lab
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specialized knowledge in cardiovascular genetics and bioinformatics skills relevant to the analysis of microRNA and sequencing data. More information about the position The appointment is a full-time, fixed
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. Use advanced data processing services to perform bioinformatic analysis. Apply machine learning methods to complex sequencing and protein structure data. Qualifications You should have a minimum a high
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sequence data (e.g., 16S and 18S data), as well as knowledge in bioinformatics. In addition, the postdoc should have a high proficiency in written and spoken English, be able to solve problems, and the
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bioinformatics and/or biostatistics Experience working with large-scale datasets and longitudinal data Experience with machine learning and/or AI We are looking for curious and motivated candidates with expertise
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development, and bioinformatics. The site is led by a Director and operates as a synergistic hub, facilitating collaboration among the encompassed research infrastructures, both internally and with key
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will contribute to field work, lab work and bioinformatic analyses including: Sample collection at Askö. Extraction of DNA, RNA, and protein. Analysis of meta-omic datasets. Integration of meta-omic and
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of fibers, protein engineering, material characterization and bioinformatics to understand the transcriptome profile of the silk glands. The atmosphere in the group is ambitious, innovative, and friendly. In
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environmental samples. Work will combine lab- and field-based sampling, molecular analysis, bioinformatics, and data interpretation. Qualifications: Applicants must hold a master’s degree (or equivalent) in
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, microbiology or mycology. Familiarity with mycology and the Nordic forest ecosystems is desired. Previous experience with ecology, molecular biology work, bioinformatic and nature conservation are meritorious