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of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience on operating dilution refrigerators is
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/Robotics or a closely related discipline. You will have an extensive background in coding (e.g., python, C++) and have some works published in top-tier conferences/journals. Candidate must have prior work
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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, Python, or Mplus. Global collaboration: Coordinating expert meetings and maintaining partnerships with international collaborators, governments, and academic institutions. Research leadership: Developing
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quantitative data analysis, including machine learning in a software such as R/Python Have a developing ability to conduct individual research work, and to disseminate results Be able to plan and organise your
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staff. Expertise in Linux environments, scripting/programming (e.g., Bash, Python, R), and genomic analysis pipelines is essential, along with hands-on experience working with large datasets and public