Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Linköping University
- SciLifeLab
- KTH Royal Institute of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Karolinska Institutet (KI)
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Umeå universitet stipendiemodul
- Jönköping University
- Sveriges lantbruksuniversitet
- University of Borås
- University of Gothenburg
- Luleå University of Technology
- Lund university
- Lunds universitet
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- Stockholms universitet
- Umeå universitet
- Uppsala universitet
- 15 more »
- « less
-
Field
-
engineering aspects as well as filtering and signal processing. The work is linked to a series of VINNOVA funded projects, REDO, REDO2 and CORD. The purpose of the research is to understand how different
-
sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
-
with technology facilities (national and international) and the clinic, as well as on genuine enthusiasm for the topic and methodology. Application process: The application must contain the following documents in
-
a dissertation. Others Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information about processing of
-
has funds for ambitious data collection. However, beyond its specific aims, work within the project can be extended to study processes related to this topic, e.g., but not limited to: additional
-
that directly support forest owners, policymakers, and national authorities. As a research assistant, your main responsibilities will include: Processing and preparing remote sensing datasets and ground-truth
-
simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
-
sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
-
The Appointment Procedure GU 2024/1687 Assessment criteria You must have a doctoral degree, preferably in political science or a related subject, by the time the appointment decision is made. The subject area