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Field
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, population dynamics, or multicellular tissues. · Experience analyzing complex biological datasets using R, MATLAB, Python, or a comparable programming environment. · Experience integrating
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behavior. Programming experience in Python, MATLAB, or similar scientific computing languages. Excellent data management skills Demonstrated scientific/technical writing and publications Excellent
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analysis (functional, diffusion, structural MRI) Proficiency in Python and/or MATLAB Experience with neuroimaging toolboxes (e.g., FSL, SPM, AFNI, FreeSurfer, etc.) Experience with statistical analysis in R
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contributions in relevant fields. Proficiency in programming languages such as Python and MATLAB. Experience with system modeling tools such as TRNSYS, Modelica, or equivalent platforms. Strong analytical
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the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis
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methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis
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/network analysis, solid mechanics, materials science, soft condensed matter physics, or computational modeling. Experience with data analysis or computational tools using MATLAB, Python, or similar
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-quality project outcomes in a timely manner. Computer programming experience, preferably with Julia and/or Matlab. An understanding of and commitment to UNSW’s aims, objectives and values in action
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, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes
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, preferably in Python, MATLAB, C/C++, or related environments. Proven research track record through peer-reviewed journal publications and/or conference presentations in relevant areas. Experience in