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experience in quantitative ecology, spatial analysis, handling large and complex datasets, and proficiency in programming (e.g., R or Python). It is an advantage if you have: Experience in fisheries biology
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reconstructions. Experience with terrestrial fieldwork in polar environments. Experience with teaching, scientific publication, conference presentations, and grant applications. Experience with GIS and/or
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fieldwork in polar environments. Experience with teaching, scientific publication, conference presentations, and grant applications. Experience with GIS and/or geomorphological mapping. Fluency in Norwegian
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. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious
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or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious, creative, resilient, meticulous in their research, and has a collaborative spirit. Employment in
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machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear algebra, and/or statistics Documented knowledge and experience in Python
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Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any
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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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. Strong programming skills (e.g., Python) and practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow). A critical thinker with a passion for the ethical and societal implications of AI and a
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Learning, or a related field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record. Strong programming skills in Python and practical experience with