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- University of Oslo
- UiT The Arctic University of Norway
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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vivo and in vivo 2-photon live imaging. Documented experience with bioimage analysis and relevant software solutions (such as Image J/FIJI, Python, and Matlab). Experience with molecular genetics
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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machine learning. Strong technical background, including substantial experience with programming in Python and relevant ML/statistics libraries (e.g. PyTorch, Darts, Hugging Face Transformers, Pyro, PyMC
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appointment Excellent programming skills (Python, Julia, R) and maintenance of code repositories Proven experience in machine learning method development Fluency in English Desired qualifications Experience
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• Experience with data science and biodiversity informatics, in particular handling of scientific collection data • Solid knowledge of R, python and/or similar programming languages • Experience with
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, audio source-separation, audio analysis, statistical modeling, machine learning, and advanced programming in Python. Excellent oral and written communication skills in English. Personal suitability and
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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programming in Python. Excellent oral and written communication skills in English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted for evaluation by