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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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. 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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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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competence in seismic data analysis is a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured
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a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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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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good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB programming languages would suit the project requirements
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doctoral degree. A strong background in computer science, and good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB