Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Lunds universitet
- KTH Royal Institute of Technology
- University of Lund
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Umeå University
- Karlstad University
- Lulea University of Technology
- Umeå universitet stipendiemodul
- Uppsala universitet
- Göteborgs universitet, Department of Marine Sciences
- Institutionen för akvatiska resurser
- Karlstads universitet
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- SLU
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Örebro University
- 12 more »
- « less
-
Field
-
related to staff position within a Research Infrastructure? No Offer Description Job description At the department of chemical engineering, research is conducted with the common objective to develop
-
degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track record of scientific publications and
-
objective of the project is to develop knowledge, models, and algorithms for physics‑informed autonomous control of heavy machinery in uneven and deformable terrain. Specific project tasks include fundamental
-
modeling Experience in plastic degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track record
-
assessment criteria: A proven track record of independence in research with the above duties and qualifications Consideration will also be given to good collaborative skills, drive and independence, and how
-
) and reliability design objectives. The project will be carried out in close collaboration with industrial partners and other research groups with expertise in electric machines and tribology. Duties
-
knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
-
psychophysical approaches (including advanced eye tracking and motion capture), and intracranial electrophysiological (EEG) recordings in neurosurgical patients. We offer an engaging and international research
-
of pathophysiological phenotypes, decentralised examinations, and reduced operator dependence. 2) Diagnostics of skeletal muscle diseases In a parallel research track, non‑invasive ultrasound‑based methods are developed
-
, such as learning analytics (from e.g. click-stream data, eye tracking, screen capture etc.), surveys, or other large-scale data analysis. However, we also welcome qualitative or mixed-method approaches