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Strong proficiency in Python for data analysis and automation Solid experience with SQL and analytical data platforms (e.g. Spark / Databricks, relational databases) Hands-on experience with automation
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. Technical Skills Proficiency with BI/reporting tools (e.g., Power BI). Able to query and join data using SQL; familiarity with Python is an advantage but not required. Familiarity with scheduled data feeds
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Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms
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logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply. Proficiency in Python or similar programming languages and
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages), as
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teams. Familiarity with AI and automation tools used in legal operations would be an added advantage Proficiency in data analysis software (PowerBI, Python, SQL), Microsoft Office, legal tech tools, and
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, liaise with vendors for servicing, and support software/IT needs for lab operations. Conduct training on electronic test equipment, programming languages (e.g., MATLAB, LabVIEW, Python), and data
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Good publications in related areas. Proficiency in basics of programming languages such as C, Matlab and Python Proficiency in English - essential for data analysis and communication with stakeholders We