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. Solid programming skills in Python, MATLAB, or Julia and knowledge of standard optimization tools (such as CasADi or Gurobi). Strong skills in mathematics, excellent capacity for mathematical formalism
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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background in programming (Matlab, python, …) familiar with Multi-body dynamic tools good knowledge of statistics familiar with signal processing, operational modal analysis Personal characteristics Strong
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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of supervisors that covers both academic pursuits. Primary tools are the programming language Python to exploit its advanced deep learning toolboxes (e.g., Keras, TensorFlow, and PyTorch), alongside
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biology, molecular biology including mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required
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biochemistry are required Profound knowledge in bioinformatics, especially Python and/or R are required Experience from relevant research projects investigating cellular metabolism, and/or protein modifications
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devices Knowledge of Python programming Good knowledge of materials technology, and basic knowledge of environmental assessment of materials Good written and oral English skills PLEASE NOTE: For detailed
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, Python or similar). Knowledge of European standards for the design of buildings (Eurocodes) Ability to handle big datasets Oral and written presentation skills in Norwegian or another Scandinavian language
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development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, C/C++) will be merited. Norwegian, Swedish, or Danish