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includes two postdoctoral researchers and scientific research assistants, with access to an international network of collaborators. The project has its own GPU environment — university hardware, reserved
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environmental microbiology and biotechnology. The Center has state of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or
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content of the programmes is available here: https://www.aau.dk/uddannelser/bachelor/kommunikation-og-digitale-medier-aalborg , https://www.aau.dk/uddannelser/kandidat/informationsvidenskab , https
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start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and links to
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become part of the PhD community there. Read more about the PhD education at DTU Space here: https://www.space.dtu.dk/english/phd-education A working environment with a focus on professional
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på
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focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en
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Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Place of work and area of employment The place of work is the Department of
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), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping ( https://roboticintercropping.eu ) team working to break new ground at the absolute forefront of what is possible in