Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Postdoc in Causal Inference and Natural Language Processing Norrkoping Reference number IEI-2026-00561 We have the power of over 50,000 students and co-workers. Students who provide hope for the
-
understand, explain and improve our world and the human condition. Are you an expert in computational modelling, machine learning, or signal processing and with a strong interest in neuromuscular
-
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
-
. 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
-
its kind in the world, and the project has established methods support from the IT’IS Foundation and TI Solutions in Zurich (computational modelling) and Princeton University (MRI methodology). You
-
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
-
in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
-
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
-
Scientific Data Group within the Technical Division of MAX IV Laboratory. We develop and operate high-performance data acquisition systems for cutting-edge detectors and provide data processing
-
, including ultrafiltration, nanofiltration and electrodialysis, as well as processing of protein-rich fractions through dairy processes. Particular emphasis is placed on the relationship between process