Sort by
Refine Your Search
-
Category
-
Employer
- Umeå University
- Uppsala universitet
- Linköping University
- Lulea University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Luleå University of Technology
- Lunds universitet
- University of Lund
- Blekinge Institute of Technology
- Luleå tekniska universitet
- Mälardalen University
- The Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Sveriges lantbruksuniversitet
- 10 more »
- « less
-
Field
-
Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
-
energy technology, applied optics, electronics and medical technology. The department hosts The Intelligent Human-Buildings Interaction (IHBI) Lab an interdisciplinary research hub pioneering novel
-
12 Sep 2026 Job Information Organisation/Company Luleå University of Technology Research Field Other Researcher Profile First Stage Researcher (R1) Application Deadline 31 Oct 2026 - 12:00 (UTC
-
to build the next generation of electronics? Europe is racing to regain ground in semiconductor technology, and chiplets – several small dies packaged together into one working system – are one of the keys
-
Science in Engineering degree in Biotechnology, with specialization in Pharmaceutical Biotechnology or Molecular Biotechnology. Documented experience in basic biochemistry, including SDS-PAGE, LC-MS/MS mass
-
global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
-
. Qualifications Requirements The successful applicant must have: A Master of Science in Engineering degree in Biotechnology, with specialization in Pharmaceutical Biotechnology or Molecular Biotechnology
-
and minerals, weather and climate, the evolution of life, natural disasters, wind power and energy, environmental and water engineering, and sustainable development. Our research combines natural
-
, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
-
computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240