331 assistant-professor-computer-science-and-data Postdoctoral positions at Nature Careers
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cells. For more information about our research, please see the following publications and website: Science 381: eadd6696 (2023); PMID: 37499037 Science Advances 8: eabo0404 (2022); PMID: 35857842
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Research Associate in Medicinal Chemistry to work on an NHMRC funded project with Professor Peter Rutledge, Professor Richard Payne , and Dr Jessica Zhong , in collaboration with Professor Warwick Britton
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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for a candidate to help with characterizing drug delivery, developing models (e.g. PK), and measurement ex vivo and in vivo as well as developing encapsulated transgenic cell-based therapies for ocular
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Completed doctoral degree in remote sensing, signal processing, computer science, or other closely related fields Experience in handling, processing, and analysing large amount of data, especially large-scale
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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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at Baylor University is seeking multiple postdoctoral research associates with expertise in either organic chemistry or chemical biology. Please see below for specific information about desired candidate
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data