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design platforms for rapid deisgn and optimisation of novel targeting modules. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
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learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoctoral position is proposed around the following project
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, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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-of-the-art MRI scanners (including one new 7T scanner) as well as MEG (Elekta Neuromag TRIUX 306-channel system). If you are at the end of your PhD and expect to defend your thesis within 6 months (and may not
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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proximity operations in collaboration with Redwire Space Luxembourg. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely
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: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
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innovation. Colourbox via Unsplash Colourbox Qualification requirements Required qualifications: PhD in machine learning, statistics, computational biology, applied mathematics, physics, or similar. Eligible