Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
experience in experimental particle physics and data analysis Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event
-
communication systems for 5G and 6G, channel modelling, channel characterization, radio-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor
-
to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you will be
-
of Building and Environmental Technology, conducts research and education in societal risk and crisis management. The focus of our research and teaching is to develop knowledge about how individuals
-
, evolution, and community ecology. The position offers the opportunity to work in a highly diverse tropical system and to address pressing questions about the resilience and evolution of plant-pollinator
-
research in battery technology supporting that electrification of the transport sector is maintained and further developed in Sweden. Research within COMPEL spans the entire battery value chain: materials
-
environment based on mutual respect and care. We strive to create a workplace that is perceived as stimulating and conducive to both personal and professional development. We continuously work to foster a sense
-
professional development opportunities and strive to meet each individual’s development and well-being goals as much as possible. As an associate researcher with expertise in the field of machine learning within
-
areas at the department include economic growth and structural change, innovation, energy and sustainability, development economics, and economic demography, as well as financial history and education and
-
that can be used for novel memory components; Circuit technology developed for quantum computing. The long-term goal of the project is to develop nanophotonic on-chip devices for integrated sensing and