Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Linköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Uppsala universitet
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Karlstad University
- Linköpings universitet
- Luleå University of Technology
- Luleå university of technology
- Lunds universitet
- Nature Careers
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Umeå universitet stipendiemodul
- 14 more »
- « less
-
Field
-
with academic and industrial partners to define relevant analytical challenges in nanoparticle characterization. Project formulation Designing and executing sub-projects aligned with the overall research
-
high degree of independence, analytical skills, and the ability to plan work tasks and meet deadlines High scientific rigor, great attention to detail, and strong organizational skills Proficiency in
-
industrial partners to define relevant analytical challenges in nanoparticle characterization. Project formulation Designing and executing sub-projects aligned with the overall research plan (e.g
-
picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
-
agricultural sector is also necessary for the position. To succeed in the role, documented experience of conducting high-quality research is required. We are looking for someone who is analytical, organized, and
-
, documented experience of conducting high-quality research is required. We are looking for someone who is analytical, organized, and highly motivated. You must be able to work independently as well as in team
-
of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry, and physical chemistry. The research is focused on catalysis, molecular recognition, structure and
-
arithmetic complexity. Topics may include Arakelov geometry, birational and Calabi–Yau geometry, analytic torsion, and related height-theoretic or intersection-theoretic ideas. More details on the project
-
approach and the ability to plan, prioritize and carry out your tasks systematically. The position also requires strong analytical skills, the ability to identify and solve problems efficiently, and an
-
modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g