Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Linköping University
- Umeå University
- Umeå universitet
- Linköpings universitet
- Lunds universitet
- University of Lund
- Mälardalen University
- SciLifeLab
- Sveriges Lantbruksuniversitet
- University of Gothenburg
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linkopings universitet
- Luleå University of Technology
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- Jönköping University
- Linnaeus University
- Linneuniversitetet
- Mälardalens universitet
- Nature Careers
- School of Business, Society and Engineering
- Swedish University of Agricultural Sciences (SLU)
- Uppsala University
- 20 more »
- « less
-
Field
-
through a combination of registry-based epidemiological studies, in vitro modelling of biofilm behaviour, and in vivo investigations of antibiotic pharmacokinetics and efficacy. The project is part of
-
, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
-
. With cutting-edge research, top-tier education, and extensive collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational
-
registers that can be used for population-based research, and a combination of these will be used for the project. The work includes literature reviews, database management, statistical modelling, and the
-
collaborative and communicative team player who contributes actively to a dynamic research environment Merits: Experience in screening molecules in cell models Bioinformatics with a focus on pathway enrichment
-
support MIP design with molecular modelling and undertake nanoMIP synthesis. Characterisation of nano-MIP–target affinities shall be explored using fluorescence and Quartz Crystal Microbalance (QCM)-based
-
collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related
-
of implant surfaces functionalised with antimicrobial peptides (AMPs) using experimental infection models to assess the biocompatibility and therapeutic potential of AMP-coated titanium and polymers in
-
collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
-
to dissect the differentiation and function of differentiated cytotoxic CD8+ T cells. These studies will be performed in human primary cells or cell lines, and potentially humanized mouse models, with goals