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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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learning libraries (e.g. PyTorch, TensorFlow). You can demonstrate foundational knowledge of both machine learning methods and core neuroscience concepts. Additional Information Benefits You will receive a
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scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts. You have excellent verbal and written communication skills in
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vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across Europe, and
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can demonstrate foundational knowledge of both machine learning methods and core neuroscience concepts. What we offer you You will receive a temporary employment contract for 7 months. Your salary
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control, as well as observe important chemical or biological reactions related to life sciences. Among several optical methods for measuring gas concentrations, absorption spectroscopy with broadband, laser
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are motivated by deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts. You have excellent verbal and written
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understanding of vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across
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the related biogeochemical controls. Position 2: Anaerobic methane removal. High-latitude coastal sediments are increasingly subject to an increased input of organic matter and metal oxides from land
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to monitor climate change, optimise industrial control, as well as observe important chemical or biological reactions related to life sciences. Among several optical methods for measuring gas concentrations