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The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs
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demonstrated experience in designing and analysing clinical trials and observational studies. Possess excellent written and verbal communication skills. Be proficient in using statistical programming languages
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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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microbiology). Understanding of soil–plant–microorganism interactions. Teamwork skills and collaborative problem-solving abilities. Strong written and oral communication skills in both English and French
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an approved doctoral thesis and public defense are eligible for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using
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for the next generation quantum computer. This program is funded under the National Quantum Processor Initiative (NQPI), a flagship program under the National Quantum Office Singapore. We are developing
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component in the transformation of the energy sector and the decarbonization of emission-intensive sectors. Within the framework of the German and the European hydrogen strategies, we intend to recruit and
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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Application procedure Fellowship Programme announcement August Application deadline 1 February Selection Meeting September Intensive German course in Bonn January/February may be preceded by German courses in