100 coding-"https:"-"FEMTO-ST"-"CSIC"-"U" "https:" "https:" "https:" "https:" "UCL" Fellowship positions in Australia
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& generous leave options. Salary packing options + 17% Super. EAP, fitness passport & discounted private health. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405620/research
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pm Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405562/postdoctoral-fellow… Requirements Additional Information Work Location(s) Number of offers available1Company
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to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence . Preferred candidates will also be required
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for this role. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405322/research-fellow-uni… Requirements Additional Information Work Location(s) Number of offers available1Company
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Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
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the Forrest Research Foundation website: https://forrestresearch.org.au/creative-fellowships/ Enrolment Requirements To be eligible to take up a Forrest Research Foundation Creative Fellowship
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opportunities for student supervision and career development. For more about the Fairlie Group please visit - https://imb.uq.edu.au/research-groups/fairlie . Key responsibilities will include: Research
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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the future La Trobe’s Cultural Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe
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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with