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Field
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for causal 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
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, single nuclei RNA sequencing and spatial transcriptomics datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with
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either four of these bioinformatics tools: BLAST, Ensembl, InterProScan, Primer3, MEGA, MAFFT, Phytozome, Bioconductor, Geneious, Clustal Omega Proficiency in R Knowledge of plant stress biology Good
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, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental disorders. This work has direct translational potential, as
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redox or metabolic signaling, including experience with in vitro and in vivo models, intermediate to advance programming/bioinformatics skills, along with excellent written and oral communication skills
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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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cancer and developing innovative biomarkers for early detection and patient stratification. ⸻ Required Qualifications • PhD in a relevant field (e.g., Molecular Biology, Genetics, Bioinformatics
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You You will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in
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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute to mentoring
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comprehensive documentation of all research and data Fluency in written and spoken English Merits: Experience in bioinformatics and/or structural biology Experience working with a diverse range of plant model