99 parallel-computing-numerical-methods-"Simons-Foundation" positions at Lunds universitet
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23 Nov 2025 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Department of Computer Science Research Field Computer science Researcher Profile Recognised
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Subject description This position will be linked to the project: Insect
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Acoustofluidics Group
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Application Deadline 29 Oct 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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level using experimental and computational methods. The division is part of the Centre for Molecular Protein Science (CMPS) at the Department of Chemistry. CMPS consists of research groups with expertise
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 11 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Riksriggen) and hydraulic testing. An important part of our activities is signal processing and methods for interpretation of measured data, among others inverse numerical modelling for assessment of material
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) Country Sweden Application Deadline 5 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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or other relevant areas within natural sciences Very good numerical and computational proficiency Knowledge and experience in processing of large datasets and statistics Demonstrated ability for proactive