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for manuscripts related to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in
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to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in Neuroscience or related field
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United Kingdom Application Deadline 9 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
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. The candidate is expected to conduct research focused on (a) development, investigation, and application of novel genetically encoded biosensors. Projects involve protein engineering, computational modeling
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position, available until December 2027. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and
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medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks
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involves developing research projects, grant writing, manuscript preparation, lab management, and supervision of graduate and undergraduate students. Minimum Qualifications PhD (or earning the degree by
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Arab Emirates Application Deadline 1 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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collaborations. We are looking for candidates with a PhD in remote sensing, geoinformatics, computer science, or a related field. Experience in handling multi-source EO data, 3D mapping, and geospatial analysis