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6. of this Notice. Preferred factors: Knowledge in machine learning and programming (Python), deep learning (e.g., tensorflow, pytorch) and time-series modeling in marine ecology applications
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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parameter estimation under different trust relations. About the project The position is funded by the Norwegian Research Center for AI Innovation and will be based in the Cryptology discipline of the
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and problem-solving skills are important, and previous experience or interest in coding (for example in R or Python) would be a clear advantage since the project involves handling and interpreting
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selection criteria Strong skills in relevant programming languages, particularly Python and C++, good knowledge in ROS (Robot Operating System) is an advantage, and best practice in data management and use
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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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their response to different environments, we try to replicate different environments under controlled laboratory conditions. By systematically confronting users with such environments, we aim to identify and
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selection criteria Strong skills in relevant programming languages, particularly Python and C++, good knowledge in ROS (Robot Operating System) is an advantage, and best practice in data management and use
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the analysis of gene expression and neuronal activity across different models, with the ultimate goal of contributing to the development of treatments that could modify the neurodegenerative progression
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for sleep apnea detection, monitoring and treatment: a multimodal approach for individuals with different health conditions” (mHealthSleep4U)” This fellowship is associated with the research project