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, molecular cloning or bacterial genetics is a plus. Experience with metabolomics, mass spectrometry or data analysis (e.g. Python, R) is a plus. Excellent communication skills in English, both written and
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, Epigenetics: A reference manual, Caister Academic Press 4. Burch, P.R., 2012. The biology of cancer: A new approach. Springer Science & Business Media. 5. Paro, R., Grossniklaus, U., Santoro, R., and Wutz, A
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- Knowledge in programming in Python or R - Familiarity with machine learning or deep learning methods is a plus - Interest in plant genomics, evolutionary biology, or comparative genomics - Proficient in
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release of hydrophobic drugs from lipid nanocarriers. The candidate will hold a M.Sc. in pharmacy and preferably has previous experiences with scientific programming (e.g. Matlab, R). The candidate must be
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the domain of molecular simulation of physico-chemical processes in proteins. The PhD student will have access to the computer cluster of the lab and to national supercomputers of the GENCI. [1] R
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data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken
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the consolidation and structuring of competitive research units in the SUG universities, in the public research organizations of Galicia and in other entities of the Galician R&D&i System by 2025, modality A
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data from participants. • Good written and oral communication skills in English. • Strong statistical skills and proficiency in R are required. • Good organizational and teamwork skills, as
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external funding to cover international fees. References: R. Fedorov, A. Nihei, G. Gryn’ova, Multi-Solvent Graph Neural Network for Reduction Potential Prediction across the Chemical Space, J. Chem. Inf
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in healthcare emergencies. Amlôt R, Weston D. Trust and communication in public health crises. UK Government Resilience Action Plan (Jul 2025)