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, delamination, metastability effects) Identify gaps and contradictions in reported degradation knowledge and formulate hypotheses that connect findings across studies Develop data analysis procedures (Python
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advantage if you have: Experience working with sensitive data in TSD Methodologal knowledge in cell sorting Basic programming skills (R/Python/Unix) Competence in statistics (R/SPSS/Stata) Personal
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skills (e.g., Python) implementing computational analytical pipelines and familiarity with machine-learning frameworks are required. The post is full-time 35 hours per week, 1.0 FTE and fixed term for 19
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-on programming skills in R and Python, acting within server-side development environments such as RStudio, JupyterLab, and RSConnect, and will document development decisions and contribute to knowledge-sharing
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design
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scientific programming (e.g. Python, MATLAB, C/C++) is highly desirable, as is a strong publication record and the ability to communicate research effectively within an international collaboration. How
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, Python, or other relevant programming languages, as evidenced in relevant courses or publication(s) Applicants will be evaluated as a function of the fit between their qualifications and the research area
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characterization methods - Attosecond/X-ray beamlines, high vacuum systems, cryogenics, compressed gas handling - Quantum materials/ultrafast dynamics of materials - Laboratory control coding (python preferred