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Confident Scheme. We are the first university to have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process
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Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your
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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the social sciences. Experience
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Wednesday, 15 October 2025, 11.55PM (AEST)
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research projects, providing qualitative and mixed methods process evaluations. This is an exciting opportunity for someone who is on their way to becoming an independent researcher as there will be scope
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below. Benefits Relocation benefits are available for this job posting. #LI-PL1 #postdoc Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat
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to the aims of Disability Confident Scheme. To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website
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Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data collection and processing for lab and field based studies of back assisting wearable robots. The Research