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Biodiversity is a collaborative research centre of academics from a wide range of disciplines funded by the Leverhulme Trust to increase knowledge of how the relationship between humanity and the natural world
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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neurological condition such as epilepsy or Parkinson’s Disease, or a psychiatric condition such as depression or schizophrenia) To effectively treat a patient with a heterogeneous disease, it is necessary
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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research collaborations, experience with survey data collection in- and outside Denmark will be an advantage as well as the ability to write and communicate fluently in Danish and English Experience with
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contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make use
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. Supporting the coordination team in ensuring compliance with EU grant obligations, timelines, and documentation standards. Overseeing internal processes for deliverable drafting, review, quality assurance