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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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Bioinformatics will be desirable. It will be highly desirable for the candidate to have experience working in a research lab. Knowledge of molecular and cellular biology techniques will be desirable. Previous
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well as bioinformatics. Preferred or Related Degrees: Biology / Environmental Sciences Preferred or Related Master’s Degrees: Master’s in Fundamental Biology, Genetics and Evolution, Conservation Biology, or similar
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of experimental procedures with primary cultures and in vivo mouse models Data collection and analysis. Effective coordination of data sets, with a focus on statistical and bioinformatics analysis Bibliographic
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Experience: Prior experience in ChIP-seq and ATAC-seq - essential Handling of Arabidopsis plants – essential CRISPR methodology - essential Experience in bioinformatics – desirable
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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experimental techniques, including flow cytometry and metabolic flux determination using Seahorse technology. Experience in the use of statistical analysis software and understanding of bioinformatics analysis
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, works on genetic and environmental factors shaping the human brain across the lifespan. Ultimately, we wish to identify key processes necessary for building resilience to brain disease. We use a
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Oncological Pathology and Bioinformatics (PO&B) is seeking expressions of interest from postdoctoral researchers interested in applying for a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship with
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of Bioinformatics. • Experience in Genomic studies. Functions • Multi-omics data analysis. • Single-cell data analysis. • Spatial biology data analysis. Predoctoral contract. • Reference: PREP2024-002764 • Annual