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develop a software to automate data processing, machine learning model selection and optimisation and enable end-users to design and optimise microbial protein solutions with minimal user intervention
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optimized for inference with the architecture and collaborate with project partners involved in the experimental demonstrations of various Machine Learning use cases in the new hardware. You will also have
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. UpToDate knowledge of machine learning methods applied to clinical or omics data 2. Research experience in Neuroscience 3. Experience in grant writing 4. Experience in supervising staff and
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research in the form of papers, posters or oral presentations Understanding of the concepts and application of research ethics Desirable criteria Expertise in Python programming for Machine and Deep Learning
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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to problem solve and work independently Desirable criteria Familiarity with the JASMIN data analysis facility Expertise in the hazard of extreme heat Competence in statistical analysis and/or machine learning
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), 'externalising' disorders (disruptive behaviours, ADHD and addictions), and cognitive disorders (learning disabilities and the autistic spectrum). Collaborative interdisciplinary research and training
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Job description The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations
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for. You should apply if We are seeking an enthusiastic and dedicated researcher with a strong track record in data analyses and a passion for machine learning and artificial intelligence in healthcare. You
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of wellbeing and social justice, perhaps using machine learning, digital technology and advanced modelling skills. The successful candidate will have a PhD in a relevant development studies discipline and will