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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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screens Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as immunological, and bioinformatics techniques to study translational aspects of cancer (e.g., Cre/loxP and Flp
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structural biology, are encouraged to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional
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cancer biology, genetic engineered mouse models, microscopy, histology, flow cytometry and/or bioinformatics. The applicant must have good problem solving and organizational skills and demonstrate
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to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional qualifications include effective writing
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biology-experimental and/or theoretical biophysics-experimental and/or computational genomics-computer science, statistics, and/or machine learning with applications relevant to genomics-bioinformatics
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inference; make use of available and newly obtained omics datasets as input for your approaches; collaborate with both experimental researchers as well as with bioinformatics/systems biology researchers (e.g
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sets. Importantly, the candidate will be required to use current and bespoke computational and bioinformatic pipelines to analyse these data sets, as well as possibly modify or develop their own