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within IAMI from the biology/chemistry interface through in vivo preclinical proof of principle and clinical proof of concept. Specifically, this translational science position will direct the scientific
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C++ or MATLAB are an advantage) Experience with Linux-based computing systems and computing clusters is desirable Interest in interdisciplinary research at the interface of physics, data science, and
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an attractive salary in line with MSCA regulations (https://data.europa.eu/doi/10.2766/346248 ). All DCs will benefit from a rich program of local and network-wide training activities covering scientific
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to hire an outstanding scientist at any level working in experimental advanced materials and/or at the interface to soft matter science, broadly defined. Additional Basic Function – if applicable: Areas
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, Data Science or Analysis, Statistics, Computer Science, Mathematics, Biology.-15 val. PhD obtained less than 3 years ago in a related area-10 val. b)Knowledge of data analysis (weighting of 0,10
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20 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BII/FhP-26/01 Is the Job related to staff position within
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
the molecular basis of life.‘ Biochemistry and Biophysics hosts a successful PhD program with a high graduation rate focused on scientific discovery and dissemination alongside professional development and
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(https://bioe.uw.edu/academic-programs/undergraduate/undergraduate-degree-requirements/), master’s (https://bioe.uw.edu/academic-programs/masters/), and Ph.D.(https://bioe.uw.edu/academic-programs/phd
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-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed