Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Umeå University
- University of Lund
- Chalmers University of Technology
- Linköping University
- Swedish University of Agricultural Sciences
- Nature Careers
- Lulea University of Technology
- Linnaeus University
- Mälardalen University
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- University of Borås
- Örebro University
- ;
- European Magnetism Association EMA
- KTH
- KTH Royal Institute of Technology
- NORDITA-Nordic Institute for Theoretical Physics
- 10 more »
- « less
-
Field
-
motivated person to influence and develop the program, and to become part of our positive and creative team. Requirements: To succeed in the role of Assistant Professor, you need to be able to plan, organise
-
the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
-
the Physiology and Environmental Toxicology program at the Department of Organismal Biology. The Department of Organismal Biology teaches and studies evolution, development, and function in whole organisms
-
degrees, competencies, and experiences are considered a merit: Master or Master of Science degree in software engineering, data science, AI, or computer science. Documented experience in professional
-
social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
-
Lund University Visiting Professors Programme Lund University invites expressions of interest for its Visiting Professor Programme. We seek individuals eager to engage with our vibrant research
-
experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
-
, competencies, and experiences are considered a merit: Master or Master of Science degree in software engineering, data science, AI, or computer science. Documented experience in professional software development
-
modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
-
, or computer science. Documented experience in professional software development, being experience in software testing a plus. Documented experience or interest in Artificial Intelligence and Machine Learning