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and software for high-throughput retinal recordings, to conduct the respective measurements, as well as to further develop the data-evaluation and signal-analysis pipeline. The work will be performed in
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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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filled. For more information about our group, please visit our website . Profile We welcome applications from candidates with expertise in one or more of the following areas: Organic synthesis
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The Population Mental Health Risk Prediction via Linkage of Multi-Modal Spatiotemporal Environmental Data To Population-Representative, Longitudinal Clinical Measures of Individual Mental Health (PRISMS) project
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students. The institute has also published at most of the major machine learning, computer vision, and robotics conferences, including CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, IROS, AISTATS, as well as in
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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handling: isolation, fixation and vibratome sectioning for immunostaining. AI-assisted image analysis for spatial analysis of tissue samples. Multidisciplinary team work, with immunologists, data scientists
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knowledge graphs into a simulation-as-a-service middleware. Performing software engineering and data management tasks in support of the realisation of this architecture. Exploring and evaluating different
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field with a strong experimental background in frequency-locked lasers or optoelectronics. Experience with dual-comb laser spectroscopy is advantageous. Hands-on experience with data acquisition and
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complex prediction, as well as the Protein Universe Atlas, an interactive web resource for exploring the vast landscape of publicly available protein sequence and structure data. We also organise community