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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should
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experience for example with python, fortran, C++ or others. Experience in modeling spectroscopic observables. Experience in quantum and semi-classical dynamics As a founding signatory of the Athena SWAN
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presenting results in a suitable format for dissemination of results in reports presentations, and research papers etc. Demonstrable knowledge of Programming skills (Python/C++/Matlab) Interest in developing
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and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python