Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Chalmers University of Technology
- Lulea University of Technology
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences
- Stockholms universitet
- Umeå universitet
- University of Lund
- Uppsala universitet
- Jönköping University
- Linköpings universitet
- Luleå University of Technology
- Lunds universitet
- Mid Sweden University
- Sveriges lantbruksuniversitet
- 7 more »
- « less
-
Field
-
belongs to the Department of Engineering Sciences and Mathematics. It is an institution with many successful teams and recognized educational programs. We work closely with companies/industries in both
-
complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
-
a complex research environment. Requirements for the position are: The position requires that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on
-
environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including
-
are looking for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in
-
for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
-
global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
-
logical coherence in the formulation of the aim and the research questions stringency of legal reasoning and analysis adequate selection of methods and theory capacity for creativity and innovation in
-
mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
-
corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms