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Field
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stage of the water cycle (from source to tap) – Task 2; (iii) Analyze drinking water samples before and after treatment processes based on carbon materials to assess the removal of the contaminants under
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of pre-existing and new eDNA metabarcoding datasets obtained in Australian coastal waters. Co-develop a new computational tool and/or indices for detecting early signals of marine ecosystem change. Lead
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unresolved challenges in sampling design, DNA recovery, and signal variability. Towards this end, CSIRO has recently formed a multidisciplinary team, in collaboration with the Minderoo Foundation, dedicated
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fellows for 36-month positions through an open, merit-based process. Where to apply Website https://bs4s.edu.pl Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of
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the three steps that the navigation-relevant signals take within the animal: Signal Detection (projects Sig01 to Sig06), Neural Processing (Neu01 to Neu06) and Navigation Behaviour (Nav01to Nav07). Further
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technologies. About the role This position will help to deliver the goals of the project by helping to develop the photonic integrated circuits needed to generate the THz control signals and deliver them
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The successful applicant will have (or be near to completion of) a PhD in Computer Science with expertise indeep neural networks, preferably with expertise in any of the following subfields: signal processing and
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Research Fellow, Implementation Science in Addition Treatment Job No.: 683764 Location: Turning Point, 110 Church Street, Richmond Employment Type: Full-time Duration: 12-month fixed-term
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UiO/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description