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in an applied engineering environment. Desired skills Excellent mathematical and programming skills, including experience creating effective code in Python, R and Matlab. Knowledge of chemistry and
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
will be trained is some of these different skills: Micro/nanofabrication Simulation/design of optical components Integrated photonic circuits Programming skills in Python, C/C++ Theory of electromagnetic
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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toolsets. Demonstrated experience in a range of programming and scripting languages, preferably including Python, Bash, Fortran and C/C++. Demonstrated experience with implementing, repairing and maintaining
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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high proficiency in Python, SQL and good command of visualisation tools such as Power BI are essential Hands-on experience with Databricks & cloud technologies (e.g., Azure, AWS or GCP) is preferred
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languages and technologies (e.g., Excel VBA, Visual Basic, Python, or similar languages). Excellent analytical and problem-solving skills, with demonstrated ability to interpret and apply policies, standards
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning
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(e.g., SQL, Python, Power BI) to develop efficient data workflows and enhance system performance. Collaborate with finance, schools, and operations teams to align technical processes with institutional
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, such as Python, Bash, and PowerShell. Strong understanding of networking, security, storage, and virtual/cloud platforms (e.g., VMWare, AWS, Azure, VPC). Familiarity with CI/CD tools (e.g., Jenkins, GitLab