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microscopy or flow cytometry and be capable of learning techniques required for the genetic transformation of filamentous fungi. Candidates coming from model organisms, such as Saccharomyces cerevisiae
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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52 Faculty of Chemistry Startdate: 01.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2028 Reference no.: 4195 Explore and teach
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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technology and innovations and work flexibly across laboratories as required. Analyse and record data to aid the design of future research Take responsibility for self-development and on the job learning
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to engage in network building Desirable are: Experience in project management or project coordination Field-relevant IT skills Experience abroad Willingness to acquire German within the course of the position
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Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research
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. You will learn to communicate complicated topics in a clear and intriguing manner. The core values of the group are inclusion, equality, and collaboration. We value work-life balance and the wellbeing
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sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work
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: https://www.aalto.fi/en/doctoral-education/how-to-apply-for-doctoral-studies#5-general-eligibility-and-academic-evaluation What we offer Aalto University offers excellent learning and development