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to build machine learning models in support drug discovery Project management skills to prioritize and organize work across multiple projects in parallel Ability to communicate verbally and in writing with a
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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. This position uses resources made available by the Flemish Government through the Special Research Fund (BOFZAP). Applications will be evaluated in parallel and independently by 1) the KU Leuven Research Council
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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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process. About You Completion or near completion of a PhD in geophysics. Background/skills in finite element numerical modelling, geophysical Inversion theories, optimisation and parallel computing. Skills
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working with the mentor (Dr Brannelly) as well as several PhD students in the lab. While there is scope to expand the research project based on the scholar’s interests, we envision that the scholar will
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, from viruses to vertebrates. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; IPhD: 5 years full-time; Apply now Research projects Research projects