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laboratory or technical equipment. 3. Basic proficiency in programming or scripting (e.g., Python, MATLAB, or similar) for data processing or device control. 4. Ability to set up, calibrate, and
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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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Python and/or R are essential. Excellent communication skills and the ability to collaborate effectively in interdisciplinary research environments are also required. This is a full time, fixed term post
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(mandatory) Professional skills: Development of ab initio methods (optional) Methodological skills: Python, Fortran, C, C++ (optional) High performance computing (optional) We also expect: Teaching experience
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imaging data, preferably using Python, and hands-on experience building bespoke laboratory setups for imaging experiments investigating alloy composition or relevant applications. You will have a strong
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or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key responsibilities
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languages (eg. Julia, Matlab, Gurobi, Java, Python) Excellent knowledge of English Team player and high social/communication skills What we offer: Work-life balance: Our employees enjoy flexible working hours
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Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable robust experimentation on large and complex datasets relevant
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of this job description. Next Steps Short-listed candidates will be invited to an interview to be held by video-conferencing (Microsoft Teams), in late April/early May tbc. This interview will include a short
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months