29 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" uni jobs at University of Lund in Sweden
Sort by
Refine Your Search
-
Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
on lu.se. https://www.lunduniversity.lu.se/about-university/work-lund-university About the employment The employment is afixed-term employment at full time, starting as soon as possible. Third cycle studies
-
meet open-minded people from different perspectives. Your main work tasks will include: Primarily, your main responsibility will be the technical development and customization of the organization’s
-
-resolved decoding and generalization of cognitive states. A central component of the project is the development of real-time or near-real-time EEG decoding approaches, in which classification models
-
with one another. We continuously strive to create conditions for job satisfaction, development, and engagement for all employees. What we offer Lund University is a public authority, which means you
-
the Software Development and Environments unit. This unit focuses on development and evaluation of new technical designs for tools and languages for software development, as well as, the use and experience
-
consideration of safety aspects and the development of methods for managing the consequences of fires and similar accidents in society. Research in fire safety engineering refers to physical and chemical
-
microscopy on magnetic materials and/or the use and development of coherent x-ray microscopy techniques, to join the SoftiMAX team. As part of the team, you will ensure optimal operation of the beamline plus
-
and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive, and
-
other things, that you prepare, purchase components, build, maintain, demount, and document laboratory setups in undergraduate education. You will also actively participate in the development of new
-
outcomes. Skills in applying causal inference, survival analysis, and longitudinal modelling to link clinical and biological data. Expertise in predictive modelling and AI applications, including development