12 multiple-sequence-alignment positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
characterization of nanoscale photonic devices. This recruitment is closely aligned with the recently launched META-PIX Centre , funded by the Swedish Research Council, which focuses on integrated photonics and its
-
fiber-optic communications. Our research benefits from state-of-the-art facilities for the design, fabrication, and characterization of nanoscale photonic devices. This recruitment is closely aligned with
-
research alignment with commercial objectives Participate in regular progress meetings and technical discussions with industry collaborators Contribute to the development and maintenance of open-source
-
element simulations to create intelligent design tools Industry Collaboration and Utilization Work closely with startup partners to ensure research alignment with commercial objectives Participate in
-
the orientation of various types of nanoparticles within both thermoset and thermoplastic polymer matrices. This position entails close collaboration with industrial partners to implement the alignment technique
-
multiple opportunities to participate in professional and personal development training. Through her/his work she/he will gain a unique skill-set at the interface between modelling and prototyping
-
that the tools and processes you develop align with the needs of ongoing experimental work. The position offers a unique opportunity to contribute directly to the development of cutting-edge quantum hardware, with
-
alignement between technological capabilities and business model configutation to sustain competitive advantage Business model innovation in the digital era – development, scaling, and transformation
-
facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
-
This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it