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, social network analysis. Experience developing software prototypes using python, JavaScript/node.js, modern reactive web frameworks, visualisation technologies (e.g. SVG, D3.js). Experience designing
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of the following areas: machine learning, energy system modelling and simulation, or digital twin systems. Proficiency in programming languages (e.g., Python, MATLAB, or similar) and experience with
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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visualisation, and programming languages like Python or R, along with understanding of data management and machine learning; exemplary experience and confidence in undertaking all aspects of stakeholder
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, such as Python and MATLAB (by MathWorks), for data analysis, simulation, and automation tasks. The successful candidate may be required to complete a number of pre-employment checks, including: right
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programming languages such as Python, R, or JavaScript. Integrate geospatial data with other systems and applications through APIs and SDKs. Maintain and enhance existing geospatial processes and workflows
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, Python, MySQL, and Oracle Web development Virtualization technologies Cloud infrastructure management Networking Cyber Security Candidates with expertise in multiple areas will be highly regarded. Please
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modelling, simulation tools such as COMSOL, and programming in MATLAB, Python, or C++. You'll be part of a supportive environment that values creativity, technical excellence, and impactful research. By
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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. Proficient in Python, database querying, and data visualisation, you excel in process improvement, automation, and change management. With excellent organisational, administration, and customer service skills