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while maintaining a clear focus on objectives. Commitment to foster collaboration and innovation with local public institutions and other stakeholders (e.g. PPR, schools, youth clubs, public
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tasks You will join the Grand Solution project 'DRONES: Drone-Obtained Electromagnetic Signatures' to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture
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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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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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. Ability to work independently, think analytically, and approach tasks systematically while maintaining a clear focus on objectives. Adaptability and ability to communicate in a constructive and respectful
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, statistics). Excellent organizational skills and attention to detail in experimental design and data tracking. Working knowledge of machine learning techniques for high-throughput data interpretation
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at Aalborg University’s research portal . Job description: The candidate should have a proven track-record for working with both pain and biomechanics. Additionally, the candidate should have
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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
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or international perspectives on higher education Experience in teaching, facilitation, or organising research events/workshops A track record in producing policy-relevant outputs (briefs, reports, or similar) What
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simulation tasks. A key objective will be the development and testing of algorithms for gas hydrate phase equilibrium calculations. CapSim seeks to advance CO₂ capture simulation technology by enhancing