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ecology, microbiome analyses, shotgun meta-genomics, microbial functional annotation, and high-performance computing are encouraged to apply. Who we are The Department of Ecoscience at Aarhus
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correctness. Valued: Experience with high performance computing (HPC). Prior exposure to mass spectrometry, omics, audio, or other high-dimensional structured data. Interest in open-source software
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance computing is considered an advantage. • Strong analytical and quantitative skills
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thriving and inspiring interdisciplinary research group. The group has access to a state-of-the-art science and laboratory infrastructure including compute servers and access to high-performance
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quality and your primary tasks will be to conduct independent research, including publication in high-impact scientific journals; be responsible for teaching, guidance and examination of BSc and MSc
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, Computing Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically
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providers' sustainability performance. Leading the evaluation of consumer engagement pathways using the COM-B model and Behaviour Change Wheel across three phases – baseline measurement, pre/post pilot
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with complementary backgrounds and a strong interest in expanding their expertise in insect ecology, microbiome analyses, shotgun meta-genomics, microbial functional annotation, and high-performance
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-performance computing. The research climate invites for lively, open and critical discussion within and across different fields of research and a working environment with teamwork, close working relations, and
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computational skills, including substantial experience with command-line environments, scripting/programming (R, Python and Bash), high-performance computing and development of reproducible analysis pipelines