22 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD research jobs in Finland
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Interest in RNA biology, alternative splicing and computational method development Strong motivation for scientific research, curiosity, and a proactive attitude towards learning new methods Excellent
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RNA biology, alternative splicing and computational method development Strong motivation for scientific research, curiosity, and a proactive attitude towards learning new methods Excellent presentation
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Engineering. Doctoral studies at Aalto University take approximately four years . You can find more information about Aalto’s doctoral program and its requirements here: https://www.aalto.fi/en/programmes
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Aalto University take approximately four years . You can find more information about Aalto’s doctoral program and its requirements here: https://www.aalto.fi/en/programmes/aalto-doctoral-programme-in
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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carried out at the Department of Information and Communications Engineering, DICE , at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning, speech
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
engagement, selectivity and phenotype mechanisms directly in primary human cells and employ machine learning methods for data analysis. This includes activity-based profiling, global- and
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763
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computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
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events and the climate. The doctoral researcher will be working on the AI-Dream project. They will have to develop criteria and evaluation suites to test the “physical” accuracy of deep Machine Learning