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Skip to content Postdoc in Developing AI/ML workflow for quantitative analysis of lipid nanoparticles KTH Share: Facebook Twitter LinkedIn Email Application deadline August 28, 2026 Read more and
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Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also collaborates with several other universities. The employment will be placed at the
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://www.slu.se/en/about-slu/organisation/departments/department-of-forest-bioeconomy-and-technology/ ), the Department of Fibre and Polymer Technology at KTH ( https://www.kth.se/fpt/fibre-and-polymer
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computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is coordinated by Professor Simin Nadjm-Tehrani within the Cybersecurity division at
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. Knowledge of porting CPU-based CFD and multiphysics codes to heterogeneous HPC architectures. Experience in performance analysis, profiling, and optimization of parallel applications using tools such as
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aims to turn HTC filtrate from a problem into a resource. In parallel, the filtrate is used as substrate for microbial production of biodegradable plastics (PHA) together with our partners at Karlstad
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in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
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transcription such as ChIP and RIP-seq you are self-motivated, persistent and collaborative with an analytical mind and capacity to structure more than one project in parallel you have the ability to
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parallel. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include
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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and