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Field
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of upscaling of permafrost thaw and greenhouse gas emissions. The candidate will work with ample of existing observational data at different levels to upscale the processes and quantify larger scale greenhouse
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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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that leverages the full spectrum of available data sources. The thesis should address the following questions: 1) How can one improve perception systems using data coming from different sources? 2) How
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-driven and passionate about fundamental research in the context of evolutionary biology and ecology. Has strong bioinformatic skills (python, ideally experience with methylation data). Has strong
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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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imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
: Dedication for the research field Enthusiasm for and willingness to engage in interdisciplinary and international collaborations across many different fields of expertise Ability to work independently Showing
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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
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treatment? Here is your chance to contribute to science that makes a difference! The Cresswell Group is recruiting a PhD student (f/m/d) interested in bioinformatics, cancer genomics and tumor evolution