24 machine-learning "https:" "https:" "https:" "U.S" positions at Uppsala universitet
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Learning and Control Laboratory , an interdisciplinary research group doing basic and applied research at the intersection of cybersecurity, control theory, and machine learning. Our vision is to develop
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to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden . Where to apply Website https://uu.varbi.com/en/what:job/jobID:918065/type:job/where:39/apply:1
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) and Machine Learning/NLP (Natural Language Processing) to capture both the network embeddedness and the qualitative B2B relationship features of supply chains. The project identifies key bottlenecks
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it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com/en/what:job/jobID:914661/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number
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to machine learning is well funded and continuously publishes in high impact journals. We foster a creative working environment, where you will find freedom to implement, develop, and publish research
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knowledge. The required training for teachers in higher education may be completed during the first two years of employment if there are exceptional grounds. documented ability to teach in Swedish or English
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the world. More information about the Department can be found here: http://www.pcr.uu.se . We are seeking an internationally recognized scholar who is interested to contribute to further developing
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like to work and live in Sweden. Where to apply Website https://uu.varbi.com/en/what:job/jobID:912709/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelPhD or equivalent
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational