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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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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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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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of Adelaide. Candidates should have experience with numerical methods and programming in Python/Matlab and be prepared to work with research volunteers. Eligibility: We welcome applications domestic applicants
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Matlab, Python or similar. The position is located at Curtin University in Perth, WA Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A brief
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
programming languages (e.g. Python, Java, C#). Previous experience in an industry environment will be well-regarded. How to apply The first step is to email Professor Clevo Wilson and Dr Alan Woodley
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR