217 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology"-"https:" positions in Sweden
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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close collaboration with teachers responsible for the SI-program at the department as well as with other SI-leaders within the program. Supplemental Instruction (SI) is an academic assistance program
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have the task of being SI leader. We are looking for experienced students who study on our master's programme in Service management. Description of the work place You are employed at the Department
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Description of the workplace The doctoral student will be employed at the Department of Computer Science, where research on engineering of large-scale software-intensive systems is conducted in
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generation and domain decomposition and/or approximation is ever-present for these problems. Aspects of high performance computing (HPC) and open source software development is an aspect of the employment. In
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computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation
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emerging computing paradigms, with access to high-performance computing clusters and experimental testbeds. Supervision: Associate Professor Paris Carbone is proposed to supervise the doctoral student
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augmentation. This project is conducted at Lund University (LTH) in close collaboration with several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS
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of clean-room fabrication processes for high-quality superconducting processors Experimental quantum computing Software development Contract terms Full time permanent employment. What we offer Chalmers
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6 Mar 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 1 Apr 2026 - 21:59 (UTC