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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise
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applied data work and at least one mainstream programming environment for analysis is expected. Direct experience with NLP or large language models for research is welcome but not required; the priority is
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
and robotics. As the successful candidate, you will develop innovative research programs spanning atomistic and mesoscopic materials simulations, machine learning, foundation and surrogate models
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results at international conferences Your profile PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Experience with programming in Python, R
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external research funding from national and international sources. Educational tasks involve teaching within the Medialogy program at the AAU Copenhagen campus. This includes delivering courses and teaching
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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, about 160 staff and PhD-students are working at the department. Further information can be found at https://envs.au.dk/en/. The Environmental Microbiology section conducts research and science-based
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interdisciplinary or problem-oriented research and innovation and have impact in the wider world. For more information about the research group, please see CLD’s website: https://www.dcc.aau.dk/research/research
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the Research Group for Production and Mechatronics: https://mpe.au.dk/om-instituttet/sektioner/manufacturing-and-mechatronics We Offer Access to well-established research infrastructure, laboratories, and shared
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., PTRwid or PTRViewer, or similar software), as well as experience in programming, command-line environments, and statistical analysis (e.g., R, Python, or related tools). Experience with metagenomics (e.g