Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Lulea University of Technology
- SciLifeLab
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköpings universitet
- Lunds universitet
- Mid Sweden University
- Umeå universitet
- University of Borås
- University of Lund
- 4 more »
- « less
-
Field
-
within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
-
for laboratory safety. experience with basic IT tools for data analysis, documentation, and scientific writing (e.g., ChemDraw, Origin, or similar software) is beneficial. prior laboratory experience in synthetic
-
background knowledge and working experience in greenhouse gas budgeting and carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro
-
Software Program, Sweden's largest individual research program ever---, and one leading to a joint degree in KTH Royal Institute of Technology (Sweden) and Nanyang Technological University Singapore
-
successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment
-
continues to surge, the steady upscaling of quantum hardware (now reaching thousands of qubits) has resulted in increasingly sophisticated quantum software pipelines. Given the strategic use of quantum
-
generation and domain decomposition and/or approximation is ever-present for these problems. Aspects of high performance computing (HPC) and open source software development is an aspect of the employment. In
-
of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
-
strong background in mathematics and statistics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience, as well as skilled
-
in example design, development or operations of small satellite hardware or software. Applicants should also have good communication skills in written and oral communications in English language