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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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USN 15th May 2025 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Stacking of Hydro power
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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Ph.D. in any aspects of climate and/or sustainability, with either by a PhD degree in any aspect of climate and/or sustainability sciences and engineering (e.g., to coincide with one of the five themes
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lecturing, small-group teaching, and tutoring of undergraduates and graduate students. Job Requirements: Essential Criteria Candidates must have a PhD (or be near completion) in Computer Science
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preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
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validation Preparation of manuscripts for publication in peer-reviewed journals Present research results at professional conferences Student mentorship and collaboration Required Qualifications PhD in a