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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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. Strong analytical and problem-solving skills with demonstrated scientific independence. Preferred. Experience with fluorescence microscopy, particularly confocal and/or TIRF imaging. Familiarity with
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: A Ph.D. in biophysics An Msc in physics. Extensive research experience in soft matter and biophysics. Analytical and programming skills for data analysis and ai-based analysis. Good interpersonal and
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://doi.org/10.1126/sciadv.abh1275 ; highlighted by @NCIgenomics as the #1 favorite paper of the year), Analytical Chemistry (https://doi.org/10.1021/acs.analchem.4c05138 ), and Cancer Letters (https
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experience with large-scale health data and epidemiological or related analytical approaches and methodology. Some experience with programming and with data science or AI-based methods will be considered
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including CO2 and CH4. Responsibilities Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and analytics including HPLC and/or LC/GC-MS
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate
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(including NIH T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional