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Starting Date 24 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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Details Title Postdoctoral Fellowship in Computer Science - Programming Languages and Artificial Intelligence School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Health Informatics for PRECISE-SG100K) Posting Start Date: 26/11/2025 Job Description: Job Description Research Fellow (Health
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REQUIREMENTS We are seeking a motivated research assistant to gain hands-on experience in computational genomics and bioinformatics as part of an NIH-funded metagenomics research project. This part-time position
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As a postdoc within the Department of Biomedical Data Sciences and healthcampus The Hague, you will play a key role in studying 1) the concentration of socioeconomic differences in health and healthy aging in families, and 2) the prediction of health outcomes in the general population using...
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position is part of a collaborative research initiative between the Materials and Systems for Nanotechnologies (MSN) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust