Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Umeå University
- Stockholms universitet
- Linköping University
- Umeå universitet
- Linköpings universitet
- Chalmers University of Technology
- SciLifeLab
- Luleå University of Technology
- Lunds universitet
- Mälardalen University
- University of Gothenburg
- Chalmers Tekniska Högskola
- Jönköping University
- KTH Royal Institute of Technology
- Mälardalens universitet
- School of Business, Society and Engineering
- Stockholm University
- The University of Gothenburg
- Uppsala University
- 10 more »
- « less
-
Field
-
of targeted delivery strategies of oligonucleotide therapeutics to B cells Host institution: Uppsala University, Department of Pharmacy Supervisor: Prof. Sara Mangsbo, Uppsala University Project 2: Delivery
-
Ordinance chapter 5, §§ 1-7, and in Uppsala University's rules and guidelines. For further information about the position, please contact: Prof. Daniel Brandell, daniel.brandell@kemi.uu.se Prof. Karin Odelius
-
contact Prof. Inger Sundström Poromaa (inger.sundstrom@uu.se ). Website for additional job details https://www.uniklinikum-jena.de/menobrain/en/Recruitment+_+Open+Calls.html Work Location(s) Number
-
to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
-
, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered
-
of Computing Science while also engaging with the research environments at the Department of Informatics. The project is led by Dr. Jason Tucker (AI Policy Lab), Dr. Pedro Sanches (Informatics), and Prof. Dr
-
; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project
-
biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
-
, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms
-
, the University contributes to a better future. Doctoral position in Natural Science, Specialising in Chemistry (focus on Structural Biology) As a PhD student you will be part of the research group of Prof Gisela