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, software and embedded systems with a reputation for performance, quality and reliability. We provide world class metal detecting, communications, safety, security, broadcast and productivity solutions
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to interpret and explain complex documentation, such as grant guidelines, award conditions and contracts. Demonstrated high-level competence of standard office computer software and the ability to adapt quickly
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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sector. Opportunity to strengthen the professional network within the sustainability, AI, and building sectors. Eligibility: The PhD student must be: within the first 18 months of their candidature
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particular, demonstrated ability to effectively resolve sensitive matters Demonstrated ability to solve problems in an innovative and creative manner to achieve defined outcomes This position requires a valid
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experience in managing complex projects and competing demands. Ability to operate complex infrastructure and bespoke software, including troubleshooting. Exceptional attention to detail and demonstrated
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other software's packages. Ability to maintain a day-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. To be successful at Level B
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membership is an EMBL Partnership Programme established in 2010, entitled ‘EMBL Australia Partner Laboratory Network’ (PLN). The partnership aims to seed a dynamic, highly collaborative culture across
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sustainability. With strong links to industry, co-located partners, and international collaborators, this role provides access to significant infrastructure, collaborative networks, and real-world impact
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other underrepresented groups. The role offers the chance to build academic and industry networks, supervise students and apply for competitive research funding in a supportive and forward-thinking