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. As a formal qualification, you must hold a PhD degree (or equivalent). General qualifications Strong scientific track record and research potential at the international level Ability to work
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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: Experience with the development of computational solutions to analysing (palaeo)proteomic data. Knowledge of proteomics or protein mass spectrometry. You have an excellent scientific track-record, including
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) Proven record of independent and innovative research, with strong problem-solving abilities Track record of publication, including at least one first-author paper in an internationally recognised, peer
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area of employment is Aarhus University with related departments. Contact information For further information, please contact: Tenure Track Assistant Professor, Sonal Shreya, +45 93522648, sshreya
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systems such as ÄKTA or Bio-Rad NGC) Proven record of independent and innovative research, with strong problem-solving abilities Track record of publication, including at least one first-author paper in
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completion of) a PhD in Computer Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with
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. The affiliation will be with Land-CRAFT, Department of Agroecology. More information can be obtained from Tenure-Track Assistant Professor Sheng Wang (e-mail: swan@agro.au.dk ; Phone +45-9350 8301), Associate
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personal and team-work skills. Priority will be given to applicants with strong and proven track record in NMR-based structural biology. Who we are The Interdisciplinary Nanoscience Center (iNANO
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least