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. Work collaboratively with project investigators, research colleagues, technical staff and international partners, developing networks and opportunities for future collaboration. Contribute
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startup company in the Netherlands. Job requirements We are looking for an outstanding candidate with a PhD degree in Nuclear materials Chemistry, Materials Science, Applied Science or a related field
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recently granted, and it will also involves a collaboration with Thorizon, a MSR startup company in the Netherlands. Job requirements We are looking for an outstanding candidate with a PhD degree in Nuclear
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal
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infrastructure, networks, travel behaviour, mobility, and accessibility. Develop a publicly accessible WebGIS platform for exploring evidence by geography, hazard, infrastructure, population, and adaptation
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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participate in studies that: • Investigate the microRNA regulatory network and other transformation-associated pathways. • Determine how tumor-derived extracellular vesicles regulate T-cell function and immune
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
for connecting with a wider network of scientists and policymakers and for career development, including collaboration with other scientists in GFRP (e.g., Drs. Marissa Hall, Francesca Dillman-Carpentier), other