623 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Uk
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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skills and proficient in the use of applications such as Microsoft Word, Excel, PowerPoint. Experience in preparing high-quality manuscripts and submitting them for publication in academic journals
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further
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symposia. These are your qualifications: Must-haves: You have completed a doctoral/PhD degree in Computer Science, Business Informatics, or a closely related field, whereby knowledge of computer science is