Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
– such as taking statutory leave – then these may be taken into consideration. We are looking for candidates with a PhD in materials engineering, solid mechanics or a closely related research field. Good
-
Exciting postdoc opportunity in integrating bioelectronic technologies in plant science. Work assignments Are you passionate about addressing climate change and enhancing agricultural productivity
-
such as a red stop light or the police's blue light. Good lighting design can significantly affect the experience of form, surfaces, textures and color. The PhD student is expected to contribute new
-
qualification in a relevant subject e.g. bioinformatics, computer science or similar At least two years’ experience of working in a research environment with bioinformatics, genomics and interpretation of big
-
, material science and electronics. Experience in characterizing electrochemical devices, including Electrochemical impedance spectroscopy and Cyclic Voltammetry. Motivated to work in an interdisciplinary
-
specifically in life sciences, material sciences, autonomous systems, climate science or large language models. Experience of building and delivering data science services to external stakeholders. The workplace
-
of Organic Energy Materials and Green Polymer Chemistry (GPC ). At OED we explore the conversions of biomaterials from forest, air components, and water at electrochemical interfaces in flow devices aiming
-
departmental duties, up to a maximum of 20% of full-time. This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and
-
We are looking to recruit a postdoc in the Electronic and Photonic Materials division in the Department of Physics, Chemistry and Biology (IFM) for research on the ultrafast optical spectroscopy
-
projects in international settings. Ability to build communities and engender a common sense of purpose within them. Awareness of data science and AI challenges specifically in life sciences, material