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within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a requirement, and knowledge in the centre’s research areas. The applicant
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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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analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage. Your Team You will join the Brain Stimulation & Cognition Lab at the Faculty of Psychology
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and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology, geography, soil science, or atmospheric sciences. Personal qualities: Strong academic drive
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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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. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical, communicative, creative and team-oriented
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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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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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Experience in statistical analyses of ecological data Experience with programming in R or Python is an advantage Dependable, pro-active and self-motivated Flexible, adaptive and innovative We offer you
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to learn) as you will interact with patients. You have experience with programming and data analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage