Sort by
Refine Your Search
-
extractions, nanopore sequencing and quality control Experience working with metatranscriptomic or metagenomic data Experience using Linux and bioinformatics approaches, including binning and functional gene
-
involve a combination of herbarium study, fieldwork including collections and threat assessments, lab work including DNA processing for high-throughput sequencing, bioinformatics including phylogenetic
-
the student with training in diverse techniques related to molecular and cellular biology, bioinformatics and protein biochemistry. A key activity in this project will be the use of targeted reverse genetics
-
and child Qualifications and personal qualities: The applicant must hold a master's degree or equivalent in the field of medical data science, health information technology, or bioinformatics
-
Bioinformatics; Experience in handling biological samples (blood and stool) and molecular biology techniques. Preferential: English proficiency (oral and written); Motivation to work in an interactive and
-
processing for high-throughput sequencing, bioinformatics including phylogenetic analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D
-
to the development of bioinformatics pipelines implementing new and traditional methods. Participate in complementary activities of the research group. The position is linked to the Department of Genetics
-
. The research group, led by Professor Thoas Fioretos , consists of about ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems
-
immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
-
. Tasks: Estimate genetic correlations, polygenic risk scores, prediction of causal genes, prediction of differential expression in brain, and construction of gene networks. Bioinformatic analyses will be