98 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Lund
- Nature Careers
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- SciLifeLab
- Umeå University
- Linköping University
- Linnaeus University
- Lulea University of Technology
- Karolinska Institutet (KI)
- Mälardalen University
- KTH Royal Institute of Technology
- Lunds universitet
- University of Borås
- ;
- Blekinge Institute of Technology
- Jönköping University
- Sveriges lantbruksuniversitet
- Uppsala University
- 9 more »
- « less
-
Field
-
Would you like to be part of our team and help shape the future of product- and production development? If so, you might be the one we’re looking for. The department of Product Development
-
, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
-
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
-
funded by a EU programme Reference Number 304--1-14162 Is the Job related to staff position within a Research Infrastructure? No Offer Description Join a research team developing state-of-the-art open
-
sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
-
at understanding the mechanisms underlying context-dependent human social learning of affective responses and social values. In this role, you will work at the forefront of research, developing new
-
We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
-
around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
-
to team dynamics and project development. Strong organizational skills, including the ability to manage time effectively and handle multiple priorities. Consideration will also be given to how