886 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Sweden
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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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equipment used by multiple researchers (e.g., DNA and RNA extraction rooms, PCR machines, instruments to measure concentration and integrity of nucleic acids, and knowledge of best practices for down-stream
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more than 12 months in the 3 years immediately before the recruitment date at the same appointing organization. Skills and personal qualities The candidate must hold a master degree in computer and data
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with expertise in computer graphics and theoretical computer science, respectively. The CS department has a very social group of students that can help you settle in. There are also opportunities
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. The student will be involved in learning from current lab members and teaching future lab members that will be hired. What do we offer? A creative and inspiring environment full of expertise and curiosity
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Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A
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administrative duties, up to a maximum of 20% of full-time. The working language is primarily English, but you are expected to acquire basic knowledge of Swedish during the employment period. More information
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with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu/isy/elda . To learn more about the
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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%) at the basic and advanced levels. Rules and benefits for doctoral students in Sweden apply to this employment. Research focus The need for self-learning and decision-support systems is important in today's