Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
position for candidates interested in interpretable AI, stochastic optimal control, deep learning and high-impact research in sustainable mobility. About us The position is located at the Systems and Control
-
areas, engaging in both theoretical and experimental research in: Data-driven and learning based control - Data-driven adaptive motion planning - Cognitive reasoning, symbolic knowledge representation
-
“Quantitative predictions of protein – DNA interactions from high-throughput biophysical binding data”. Sequence specific binding and recognition between transcription factors and DNA control gene expression at
-
higher availability. Through well planned maintenance, external and internal operational risks can also be controlled and minimized. The subject area/division of Operation and Maintenance Engineering is
-
-quality infrastructure such as laboratory facilities for rocket propulsion, small satellites, asteroid engineering, and space avionics. Subject description Space systems includes systems for control
-
interdisciplinary research environment, the ability to collaborate and contribute to teamwork, and a very good command of the English language is important. More information The PhD programme is four years. However
-
level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
-
of biomolecular condensates in immune cell activation and identify the mechanisms controlling the expression of immunoglobulin transcripts. Using both experimental molecular and cellular biology methods and
-
of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
-
to Trafikverket’s sustainability efforts aimed at promoting biodiversity in road environments. To this end, the doctoral student will conduct observational studies as well as a controlled management experiment with