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Field
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or neural networks or related fields Additional Qualifications Special Instructions Required documents: · CV · Research summary of PhD work · Cover letter describing your interest in the lab
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have: A PhD (awarded or near completion) in computational biology, bioinformatics, ecology, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C
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Application Deadline 17 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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using computational approaches, present results at conferences and scientific meetings, prepare manuscripts for publication, and collaborate with colleagues on joint research projects, develop a research
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve