43 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Lund in Sweden
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systems, Applied AI/ML, Computer Security and Cryptography. The division runs several research projects through different large research collaboration platforms and arranges extensive workshops and seminar
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Department of Computer Science. The Graphics Group has a long history of internationally recognized research in the areas of Real-Time Rendering, Graphics Hardware and Ray Tracing. The Group has collaborations
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harness data collected during the entire lifecycle. In large-scale cloud-edge services, DevOps include many tools working together (e.g., build servers, code review, program analysis) to feed back
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an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The Division of Computational Chemistry involves ten research groups in all areas
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readout [1] and aims to expand immune cell reprogramming beyond currently accessible cell types. 1. Ascic et al., Science 2024. You can read more about the research group at https://pereiralab.com / We
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Two positions as Associate Senior Lecturer/Assistant Professor in Computational Science (PA2026/927)
Lund , Moving to Lund and Living in Lund . Read more about the University joint announcement: https://www.lunduniversity.lu.se/lund-university-programme-global-excellence Duties – what we expect from
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, Moving to Lund and Living in Lund . Read more about the University joint announcement: : https://www.lunduniversity.lu.se/lund-university-programme-global-excellence Duties – what we expect from you We
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
analysis. You will work on developing and exploring the synthesis, processing, properties, and performance of nanowire-based devices for nanophotonic based neuromorphic computing and optical sensing. Your
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control, basic course (study periods 1 & 2), FRTN65 Modeling and learning from data (study periods 1–2), FRTF01 Physiological models and computations (study period 2), and FRTN90 Cloud computing (study