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Field
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of the addition elements will be investigated. The objective of the project is to understand the impact of the addition of different species (Gd, Dy, Tb, Ce ...) at different concentrations on the corrosion
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causal GRNs across millions of cells and tens of thousands of genes. Design robust objective metrics for evaluating methods and benchmarking against existing approaches. Demonstrate the unique capacity
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preparation of peer-reviewed publications relevant to project objectives support occasional teaching activities and contribute to the supervision of undergraduate and postgraduate students. The ARC-funded
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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Postdocs (3 years) Research Assistant Professors (5 years) Each position can lead to the next. The intention is to provide a long-term runway for ambitious research and for applying for tenure-track
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essential. Experience in controlling and operating single-molecule/super-resolution microscopes for bacterial imaging, single-particle tracking and single-molecule FRET is essential. Finally, experience in
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approaches to host/pathogen interactions, cell signalling and comparative immunology of zoonotic infections. The applicant should have a track record of research in computational biology with experience with
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research group/supervisor from the list available in CINBIO’s website, as well as envisioned secondments, their objectives, extent, and benefits for the candidate’s career; 3) a summarized data management
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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-particle tracking and single-molecule FRET is essential. Finally, experience in image and time-series analysis is also essential. You should have excellent communication skills and enjoy working within