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combination of practical laboratory work (wet-lab work) and computational analysis (programming in R and/or Python). The program also includes attendance to seminars, courses, and conferences. The PhD student
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, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome assembled genome
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in basic bioinformatics for genetic and transcriptomic analyses, including proficiency in single-cell analyses. Mandatory skills include proficiency in R and Python programming. Wet lab experience is
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museum samples Proficiency in bash command line and Python/R Experience working with high-performance computing clusters Experience with molecular lab techniques (e.g., DNA extraction, DNA sequence library
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-genome DNA sequence data (Nanopore, PacBio, and/or Illumina) Experience with the generation and analysis of sequence data from museum samples Proficiency in bash command line and Python/R Experience
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sequencing data. You are proficient in data analysis using R and/ or Python in a Linux environment. You are highly self-motivated, productive, and like to work in an interdisciplinary research team. We offer
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programming (in SAS, R or STATA) and analysis are advantageous. The selection of qualified candidates will be based on their ability to successfully complete the doctoral program. Emphasis will be placed
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://moleculargeo.chem.umu.se/boily/ ) at Umeå University and R&D specialists at Boliden. The PhD student will also spend three months as an intern at Boliden and participate in activities and training programs within
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, including R Experience working with plants under field and greenhouse conditions is required Experience in bioinformatics and quantitative genetics analysis is an advantage. research experience with red
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laboratory animal science (FELASA B) Experience in working with laboratory mice (e.g. basic handling, intracerebral injections) Experience in computational data analysis (e.g. R or Python) Terms and conditions