Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of undergraduate and postgraduate students and teaching on Bachelor’s and Master’s courses related to the field of the position. Active participation in long-term curriculum development is expected, in particular in
-
. The application areas are diverse, ranging from quantum devices to medical technologies. Overall, modeling and simulation tools developed in Computational Physics have increasing role in fundamental sciences, and
-
the viewpoint of end-use across this plethora of humanistic research, e.g. through matching approaches to research questions and data, and not as a focus on methodological development itself. The lecturer will be
-
the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
-
for the duration of the project, access to modern laboratory facilities, and strong support for professional development, including the possibility to attend international conferences and training courses. In
-
, inclusion, and well-being. Group members have ample opportunities to develop both technical and transferable skills—including programming, data visualization, communication, networking, and leadership
-
potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
-
analog/mixed-signal integrated circuits to join our Integrated Circuits team, Espoo. As a Senior Scientist, you will have a key role in the development of circuits for sensory system control and
-
manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
-
. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze