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the following Advanced cell cultures (e.g. 3D cultures, organoids/tumouroids) High-content microscopy Data analysis in commonly used bioinformatics programming languages, e.g. python, R, etc If you are
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
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analyses and visualization of large data sets in R Strong written and oral English language skills If you do not already have educational competence that meets the requirements for a position as associate
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Preferred selection criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A
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Stein Ove Erikstad and Associate Professor Benjamin Lagemann, and your immediate leader is Head of Department. About the project FME MarTrans is a Norwegian R&D centre for Maritime Energy Transition. It
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. using JAX, based on numerical models such as Higher Order Spectral method, mcsimpy, etc. Collect real metocean data from relevant online databases, datastreams such as from R/V Gunnerus, and experimental
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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is supervised by Professor Amir R. Nejad and Professor Ole Andre Øiseth . Your immediate leader is Head of Department. Duties of the position Development of integrated condition monitoring system