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physics, and quantum error mitigation. Good programming skills in Python. Familiarity with PyTorch or tensorflow will be a bonus. Proficiency of programming skill with quantum machine learning architectures
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systems, MARL, Game Theory. Strong background in Mathematics and modelling. Good English writing and communication skills for research work. Proficiency in Python, experience with PyTorch, NumPy, and
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data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer-reviewed journals. Understanding of ethical guidelines in research. Capable of planning and executing complex projects
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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therapeutics or nucleic-acid chemistry o Nanoparticle / liposome formulation and characterization o HTS assay development and robotic screening o Recombinant protein expression in multiple hosts o
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resourceful, organised, and able to manage multiple priorities effectively. e) Be highly numerate, analytical, and be willing to work with complex datasets. The ideal applicant should also: a) Have experience
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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mathematics, signal/image procesing, machinelearning/deep learning and computer science. It will be an advantage to have: Scientific programming proficiency in Python, knowledge of deep learning libraries in