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Field
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transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and oral communication skills. • Open to fixed-term candidate. Req ID: 34025 Apply now
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automated optical benches to test multi-pixel photocurrent responses under varied polarization states. • Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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programming skills (Matlab, C++ or Python) We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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tools • Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis
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discipline. Strong background in machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation
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-science or computational background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with
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fields. Strong knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks
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students within the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 19 hours ago
. Demonstrated experience with publications in top-tier journals and conferences. Proficiency in programming languages commonly used in deep learning such as Python and familiarity with frameworks like TensorFlow