Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- Lunds universitet
- University of Lund
- Uppsala universitet
- Linköping University
- SciLifeLab
- Karolinska Institutet (KI)
- Nature Careers
- Umeå University
- Lulea University of Technology
- Luleå University of Technology
- Lund University
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Gothenburg
- Chalmers
- Chalmers Tekniska Högskola AB
- Chalmers University of Techonology
- Chalmers tekniska högskola AB
- Fureho AB
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- KTH
- Karlstad University
- Luleå tekniska universitet
- Malmö universitet
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- 20 more »
- « less
-
Field
-
materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical
-
into scaffold–cell interactions and contribute to the development of clinically relevant bone substitutes. Project goals Goal 1: Develop and optimize biomaterial inks replicating the composition of natural bone
-
and passionate interest in algorithm design and mathematics (especially in probability and optimization), and present an outstanding academic track record. Applicants must hold or be about to receive a
-
service layer, resulting in suboptimal remediation. This project introduces a bottom-up approach to network security, integrating physical-layer perspectives into the design and optimization of future
-
materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical
-
the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
-
strive to ensure that the beamtime is used optimally and that all users have the support they need to successfully complete their experiments. Our goal is to make a meaningful contribution to the research
-
of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties
-
proteins must exhibit high nutritional and functional quality, this includes optimal protein composition, a favorable amino acid profile, and functional properties such as solubility, gelling, and foaming
-
demands of both consumers and the food industry, plant proteins must exhibit high nutritional and functional quality, this includes optimal protein composition, a favorable amino acid profile, and