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., Python, PyTorch). Practical experience in at least one of: driving simulation, spatiotemporal AI models, or traffic safety analysis. Strong publication record is an advantage. Excellent English
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academic background in machine learning and convex optimization. Prior experience in federated learning, edge computing, or healthcare applications is highly desirable. Proficient in Python and ML frameworks
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photonic design Proficiency in Ansys Lumerical, Tidy3D, Python, MATLAB, and GDSfactory Strong written and oral communication skills Ability to work independently under strict timelines with excellent
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modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in or experience in environmental exposure
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Requirements: Doctoral degree in Chemical Engineering, Chemistry, Computer Science or a related field Proficiency in python and software development Experience with laboratory automation Skilled in database
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organisational abilities for project planning, data analysis, manuscript preparation, and grant writing. Have a good understanding and knowledge in statistical methods using R, Stata, Python, or SPSS. Appointments
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, documentation, and presentations) - essential for data analysis and communication with stakeholders Proficiency in hard skills, such as programming (Python, C++), machine learning frameworks (PyTorch, TensorFlow
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Proficiency in scientific programming and simulation tools (e.g., Python, MATLAB) Proven ability to conduct independent research, publish high-quality work, and collaborate effectively Strong written and oral
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, Python, SQL). • Strong written and verbal communication skills. • Highly organized and able to work effectively independently as well as with a team. The following requirements will be considered as an
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, Python, SQL) or statistical genetics tools. • Strong written and verbal communication skills. • Highly organized and able to work effectively independently as well as with a team. The following