Sort by
Refine Your Search
-
the department of Translational Medicine at the Faculty of Medicine and is led by Prof. Lars E. Olsson. One of the research groups at the department is the Environmental Radiology Group, which is led by Prof
-
Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event selection, or object reconstruction Interest in student
-
, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and
-
-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor is a tenure track position, which aims for the holder to develop
-
around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
-
, bacteriophages. Prof. Hauryliuk obtained his PhD in 2008 at Uppsala University, Sweden. His scientific contributions were recognized though the Ragnar Söderberg fellowship in Medicine (2014), the Swedish Fernström
-
for strategic development: materials research, integration of batteries with power electronics, and safe energy storage. This position is associated with the COMPEL platform located at the Centre for Analysis and
-
University Center for Sustainability Studies (LUCSUS). The responsibility will be to conduct literature searches and develop method-related aspects on immobility and its relevance to development and support
-
all these areas, providing excellent conditions for further development of the field. The aim is to design proteins or other biomacromolecules that spontaneously self-assemble into higher-order