Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- University of Lund
- Chalmers University of Technology
- Karolinska Institutet (KI)
- KTH Royal Institute of Technology
- Uppsala universitet
- SciLifeLab
- Umeå University
- Jönköping University
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Göteborgs universitet, Department of Marine Sciences
- KTH
- Linköping University
- Mälardalen University
- SLU
- Umeå universitet stipendiemodul
- 8 more »
- « less
-
Field
-
. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
-
for three weeks of training in higher education teaching and learning. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree
-
research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
-
research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
-
/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with
-
learning models to link sequence to function, supporting the design of regenerative therapies in the nervous system. The position will combine hands-on neuroscience experimental approaches with data-driven
-
, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
-
around 200 dedicated staff, including 65 PhD students . We are a joint department between Chalmers University of Technology and the University of Gothenburg, combining the best of two academic worlds in
-
learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted for experimental evaluation. Work duties The main duties involved in a
-
qualifications and experience: - A PhD (or equivalent) in neuroscience, biomedical sciences, bioengineering, or a closely related field, obtained no more than a few years before the start date (according to KI