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perform outside the lab, how they are perceived and accepted by users, and how data from real-world deployments can inform the design of personalised support strategies. You will work closely with engineers
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studies, and biochemical interaction assays. Demonstrated success in developing innovative genome engineering strategies. Strong research management and project coordination skills, including rigorous data
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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
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Information Further information about this position is available via email from Professor Ahmad Rafsanjani (ahra@mmmi.sdu.dk ). If you experience technical problems, please contact our email support
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Characterize them using biochemical, biophysical, and structural tools Develop reaction assays to confirm and quantify enzymatic activity Analyze the data obtained to elucidate reaction mechanisms Present and
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algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging physical X-ray knowledge and deep-learning approaches. Collaboration with
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Element: numberavailable - Unable to display element. Data must be XMTHL compliant - Exception: XML parser error CreateXmlDoc Fatal Error: at file Integration Server line: 1 column: 1009 message
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-slope transport. The PhD study aims to compile and analyze eddy-resolving model data, repeated AO CTD/LADCP sections together with observations from A-TWAIN, Yermak Plateau, Nansen Legacy, and Fram Strait
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at the national level. Through a combination of extant personal oral stories and archival sources, together with new digital humanities representations of data about infection and vaccination rates, this research