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Field
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: Ph.D. in Computational Biology, Bioinformatics, Computer Science or related field. Demonstrated proficiency in Python or R, with experience building bioinformatic workflows and documenting code with
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. Familiarity with bioinformatics and computational biology
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Solid experience in nucleic acid isolation, PCR, RT-qPCR, and gel electrophoresis Solid experience in gene overexpression and/or silencing Proven knowledge in either four of these bioinformatics tools
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for a Postdoctoral Associate. The lab utilizes contemporary methods in molecular genetics, genomics, cell biology, biochemistry, bioinformatics and microbiology to answer basic and translational questions
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties
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following basic requirements: - Hold a PhD degree in plant biology with a focus on plant breeding, quantitative genetics, population genetics, bioinformatics or similar - Ability to carry out and complete
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disciplines, including computer science, bioinformatics, and medicine, as part of a large European consortium. In particular, you are expected to collaborate closely with another postdoc hired at Leiden
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areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning