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Field
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). Previous experience processing imaging data from unmanned aerial vehicle (UAV) is desired. Expertise with R or Python will be valued. Previous experience conducting agronomic field experiments is preferred
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge
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. Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python). Strong understanding of heat exchangers, thermal loops, and multi-physics systems. Experience in techno-economic analysis
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(e.g., Python) and machine learning tools (e.g., PyTorch) Entry level candidates are welcome to apply We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU
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to new tools, methods, and subject areas; - Have experience working with digital trace data, survey data, or other quantitative and qualitative research methods; - Have working knowledge of Python, R
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programming and data analysis (Python, MATLAB, or equivalent). Experience with machine learning, data-driven modeling, or AI methods applied to physical sciences datasets. Familiarity with handling and
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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pipelines for genomic data analysis, and of programming languages such as R, Python, or Bash script is essential, as is experience of working with High Performance Computing. Time management skills
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, analytics, and software development, ideally using tools such as Python or similar platforms. Experience developing dashboards or visualisation platforms (e.g. Grafana, Power BI, or web-based frameworks