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role: Development of server software for the control of different devices at PITZ using the DOOCS API Integration of applications into the accelerator control system Design and implement core operational
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validating mechatronic systems. Experimental methods and testing Programming and software development, specifically with Python-based engineering software development and hardware interfacing. Excellent oral
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databases using GitHub Maintain databases using R, Python, and SQL in collaboration with members of the research team Create and link customized databases and analytic datasets in UNIX environments Assist in
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need to be able to analyse data and interpret findings from your research, including large and complex datasets combining different modalities (in particular behavioral and neuro-cognitive methods, but
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models to explain differences between theoretical predictions and experimental observations. Work closely with other researchers in the group to integrate new experimental methods into hyperpolarised xenon
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psychology Experience with quantitative research methods Experience with R, Python, Javascript/HTML/CSS, or other programming languages Experience managing a team Other Requirements: Regular weekend
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skills will make a difference. You’ll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with