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mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science
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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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development technologies (e.g., HTML, CSS, JavaScript, Python, and/or PHP). Proven experience in integrating third-party algorithms into web-based platforms. Experience with database management, cloud-based
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for: Passionate about optimisation, experimentation, AI and machine learning, and application of these technologies to business problems; Good coder with at least one of the major programming languages. Python is
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communication skills and an interest in working on projects of commercial relevance, required. Programming language (Python, R) knowledge • Understanding and interest in apparel and textile sustainability
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skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
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: Programming: Proficiency in languages such as Python, Java, C++, and scripting languages. Network Security: Understanding of network protocols, firewall configurations, intrusion detection systems, and network
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developing supply chain solutions using Python, optimisation libraries (e.g., CPLEX, Gurobi), and/or machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). To be successful for Level C, you’ll
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researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI