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recordings FELASA certificate (or equivalent personal license to conduct animal experiments) is required. Fluent oral and written English communication skills Python, Matlab, R or other relevant programming
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/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious, creative, resilient, meticulous in their research, and has a
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professionally relevant background in algorithms, machine learning, database systems, or data mining. Very good programming skills using Python and/or Julia. Have excellent skills in mathematics and probabilistic
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research is a requirement. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a
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of software solutions can be beneficial. Strong programming skills; experience with Python, C# is a strong advantage. Personal qualities and skills You must have good collaboration capabilities and be a team
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(e.g., R or Python). It is an advantage if you have: Experience in area-based conservation ecology, marine system ecology, and/or ecology of sea ice-associated species. Experience in Marine Spatial
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sediment and particle transport and fluid dynamics Publications in the relevant field Preferred selection criteria Experience with programming and data analysis using Matlab, Python, or similar tools
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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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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related field. Documented expertise in machine learning and time-series modelling (e.g. LSTM, XGBoost, CNN). Strong programming skills in languages such as Python and R. Experience with phenotyping data