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data acquisition) and profound skills in XANES & EXAFS data analysis Strong track record of publications in X-ray spectroscopy and a strong drive towards research publications Proficiency in English
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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preparation for histological analysis Experience within protein analysis using mass spectrometry Experience with long-read sequencing technologies and related data analysis Experience with automation of lab
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referees familiar with the applicant's qualifications certified knowledge of the English language if relevant, copies of scholarly publications More information about the English language requirements can be
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on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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both competitive in peacetime and resilient in times of crisis. For more information, visit FORCE – Centre for Food Resilience and Competitiveness. Subject description The postdoctoral position focuses
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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data (study periods 1–2). As a teaching assistant, you will work together with other teachers in a group of other assistants within the undergraduate education at the department. The duties includes
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criteria for the appointment of a Senior Lecturer (dated 2022-03-30). See: Guidelines for academic appointments | Faculty of Medicine, Lund University Information Further information is available from: Dean