Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Chalmers tekniska högskola
- Lunds universitet
- Umeå University
- Karolinska Institutet (KI)
- Umeå universitet stipendiemodul
- University of Lund
- SciLifeLab
- Umeå universitet
- Uppsala universitet
- Linköpings universitet
- Nature Careers
- chalmers tekniska högskola
- Örebro University
- Chalmers Tekniska Högskola
- Karolinska Institutet
- Linköping University
- Linköping university
- Linköpings University
- Linnaeus University
- Linneuniversitetet
- Lund University
- Sveriges Lantrbruksuniversitet
- 14 more »
- « less
-
Field
-
provides professional education nationally and internationally, supporting lifelong learning. M2 strives for close collaboration between academia, industry, and society, focusing strongly on practical
-
that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service or similar circumstances, as well as clinical
-
analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
-
experience with machine learning techniques in general and neural networks in particular will be highly beneficial. About the employment The employment is a temporary position of 2 years according to central
-
ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
-
requirements for the doctoral degree. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your
-
foreign degree in speech technology, computer graphics, machine learning, computational linguistics, or a related area. This eligibility requirement must be met no later than the time the employment
-
related fields. Experience in Machine Learning/AI, mathematical, computational and statistical training are also advantageous. About the employment The employment is a temporary position of two years
-
and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting
-
, so you should be motivated to work in the lab, eager to learn new techniques, and able to take initiative. You should also be organized and capable of working independently as well as collaboratively