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for Pollinator Monitoring: Train and optimise deep learning models for pollinator detection and classification using annotated image datasets. Post-processing object tracking algorithms will be incorporated
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 5 hours ago
simulation in nonhuman great apes and human children across different cultures. The project employs methods such as behavioural studies, touchscreen experiments and eye tracking. The successful candidate will
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BMAD simulation tool, an advanced open-source particle tracking framework, the doctoral candidate will perform start-to-end simulations, benchmark physical models, and explore tolerance studies. Specific
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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Department at Monash has a thriving research culture, and is ranked 33rd in the world in the latest QS rankings. Candidate Requirements The successful applicant will have an excellent academic track record in
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(DPPs) has become a regulatory priority. These passports are envisioned to revolutionize the way products are tracked and evaluated, providing detailed information about their materials, manufacturing
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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, amid increasing hydrological extremes (floods, low flows, and droughts). The objective is to understand how changes in hydrological regimes modify the relationships between people and rivers, and how
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cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites shape cancer progression-and where we
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, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry