Sort by
Refine Your Search
-
Category
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Mälardalen University
- Jönköping University
- Örebro University
- Karlstad University
- Linnaeus University
- 3 more »
- « less
-
Field
-
interactive multinational and multidisciplinary teamcovering expertise in molecular biology, cell biology, neuroscience, regeneration biology, mathematical modelling, and robotics. The fundamental questions
-
practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of the following fields: mathematics, physics, computational science, or
-
subjects. The position requires a PhD in quantitative disciplines, such as earth and earth or environmental sciences, atmospheric sciences, ecology, applied mathematics or physics, or related fields
-
at developing and applying computational tools to understand the evolution of biodiversity (see https://islandevolution.github.io/ ). As a postdoc in this project, you will work with mathematical modelling
-
, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of
-
integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
-
the time you start (you can apply before they are met e.g. during your PhD). A doctoral degree (PhD or equivalent) in an area relevant to the announcement. Everyone is welcome to apply but due to regulations
-
well as providing guidance to PhD and MSc students. Teaching and supervision amounting to a maximum of 20% of full-time may be included in the duties. Qualification requirements Qualified for the appointment is
-
, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
-
due to illness, parental leave, clinical service, appointments of trust in trade union organizations, or similar circumstances. Requirements A PhD (or equivalent foreign degree) in a relevant discipline