41 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in Brazil
Sort by
Refine Your Search
-
://bi0s.unicamp.br/ ), which aims to develop data science and artificial intelligence approaches applied to decision-making in strategic sectors such as healthcare and agriculture. The position is open to candidates
-
, addressing the skyrmion Hall effect and the development of racetracks for spintronic applications. Activities include atomistic simulations of skyrmions, bimerons and skyrmioniums, studying their stability and
-
new molecular targets, GPCR-like receptors, cellular signaling, and the development of new therapeutic strategies against Plasmodium falciparum. Mandatory requirements: Knowledge and experience with
-
TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order
-
Brazilian cities, focusing on the urban planning, regulatory, and operational instruments adopted. Activities will include bibliographic and documentary research, the development and analysis of a comparative
-
advanced correlative microscopy techniques, combining coherent X-ray diffraction imaging (CXDI) and STED super-resolution microscopy. The researcher will: • Develop new multimodal imaging strategies; • Work
-
position within a Research Infrastructure? No Offer Description Activities The post-doctoral fellow assigned to the “Real Estate Markets in Favelas” project will develop new theoretical approaches to explain
-
to staff position within a Research Infrastructure? No Offer Description Activities and context CISM is offering a post-doctoral research opportunity to lead and develop an implementation project
-
clinical research projects. Desirable requirements: Familiarity with app development and implementation. Ability to work effectively as part of a multidisciplinary team. Availability to work 40 hours per
-
position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data