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London, Prof. Alexei Lapkin from the University of Cambridge, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced
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., Klustakwik, Tint etc) and analytic software (e.g., Matlab, Python, R etc) C3 Paper-writing, submission and revision Experience Essential: E1 Sufficient depth of relevant research experience (including
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desirable. Understanding of fermionic superfluidity/superconductivity and topological materials is beneficial. Working skills in data analysis and automation of experiments with MATLAB, Python, or equivalent
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machine learning. The work will require solid programming skills, especially in Python and Julia. We expect the candidates to have: MSc degree in physics, materials science, chemistry, mathematics
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are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a
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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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has recently been awarded by the European Commission. For information about this project can be found here: https://www.agriscience.fm Your duties and responsibilities: Familiarise with the state
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component integration and strong programming skills in languages relevant to data science and web development (e.g., Python, JavaScript). You will also have excellent communication skills, with the ability
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, maintenance, and innovation in research software using industry-standard languages and frameworks such as (Python, R, C, C++, Java), and others. 4. Translate complex research requirements to suitable software