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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will take place at CREST, within ENSAE, a
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 24 days ago
to the Doctoral School of ILT&SR PAS https://phd.intibs.pl/files/dokumenty_EN/25-04-29-Zasady_rekrutacji_SD_INTiBS_PAN_en.pdf Description of the research project and the PhD thesis The exceptional sensitivity
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree
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Ph.D. in any aspects of climate and/or sustainability, with either by a PhD degree in any aspect of climate and/or sustainability sciences and engineering (e.g., to coincide with one of the five themes
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission . Please submit your application, with all your application documents to Professor Luca Mora (Luca.Mora
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information at https://www.cs.pitt.edu/ . About the Positions Appointment Stream (Teaching Assistant Professor, Department of Computer Science, #27041) Appointment Stream (Teaching Assistant Professor
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biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database