Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- SciLifeLab
- Blekinge Institute of Technology
- Chalmers University of Technology
- Jönköping University
- Karlstads universitet
- Karolinska Institutet (KI)
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet
- University of Lund
- 4 more »
- « less
-
Field
-
to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer
-
analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
-
. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
-
, which provides a great opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control Engineering, Computer
-
and collaborative researcher who enjoys working across disciplinary boundaries, takes independent responsibility for a research agenda, and communicates clearly with both computer scientists and social
-
Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
-
: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical
-
subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
-
related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
-
to hold a PhD in computer science or a related subject or have equivalent qualifications from abroad. The PhD must be completed before a decision to appoint an applicant is made. The candidate must have