881 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Sweden
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the world. Where to apply Website https://lu.varbi.com/en/what:job/jobID:890483/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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us You will be part of the Division for Language and Communication at the Department of Communication and Learning in Science, and a member of our graduate school Communication and Learning in STEM
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funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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, or military service. The following experience will strengthen your application: Experience with fluidics/microfluidics to explore sample transportation to the sensor. What you will do Develop methods
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wish to submit (copies of diplomas, transcripts, references, letters of recommendation, etc.). Where to apply Website https://lu.varbi.com/en/what:job/jobID:888649/type:job/where:39/apply:1 Requirements
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-Physical Systems, you will teach at undergraduate and postgraduate level, including courses in computer architecture, embedded software, real-time systems, and AI-based perception for cyber-physical
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learn more about the discipline and our research here: https://www.kau.se/en/social-work We value applicants with an interest in the social work research conducted at Karlstad University. Duties As a
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to the seven-year limit may be made for documented parental leave, sick leave, or military service (the date on the doctoral certificate is used as the official completion date). Contract terms The position is
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of extensive datasets. You will be supervised researchers who collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked