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optical setups and measurements. • Working knowledge and understanding of quantum optics and ultrafast optics. • Good with data analysis using Matlab, Python, etc. • Good in research and strong
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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for appointment. Solid background in machine learning and scientific profile relevant to the project described above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and
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programming languages such as Python or R and data-analysis platforms for genomics, proteomics, and transcriptomics. Excellent project management skills. Ability to multitask and work within timelines. Capable
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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partners. A good working knowledge of programming tools like MATLAB or Python, and familiarity with aircraft systems modelling, artificial intelligence applications, and simulation tools will be highly
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for Bayesian inference Documented experience with programming in either Python or R. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent
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degree in (applied) mathematics Relevant research experience in stochastic analysis and/or partial differential equations, python coding Enthusiasm, good communication skills, and being able to conduct
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integration of robotics, PLCs, CNCs, and sensor networks in a manufacturing context. Strong programming skills (e.g., Python, MATLAB, C++) and familiarity with AI/ML tools and platforms. Consideration may be