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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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expected to include hardware which responds to our own proprietary software. There will also be some logistics which need to be handled and therefore the postdoc is expected to be mobile to some degree. Your
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programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security and privacy, post-quantum
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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one first-author publication, accepted or submitted Experience with machine learning is a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or NextFlow is a plus
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security
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, Computer Science, Software Engineering, Applied Mathematics, Robotics or a related field. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. Who we are The Department
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the Sydhavnen district—a dynamic hub for research and innovation. It hosts strong research groups in artificial intelligence, machine learning, software engineering, data science, and cyber-physical systems