Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Umeå University
- Linköping University
- Lunds universitet
- University of Lund
- Linköpings universitet
- Umeå universitet
- 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
- Linneuniversitetet
- Mälardalens universitet
- Nature Careers
- School of Business, Society and Engineering
- Swedish University of Agricultural Sciences (SLU)
- Uppsala University
- 19 more »
- « less
-
Field
-
twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
-
general study plan . We are looking for candidates with: a strong interest in interdisciplinary research, excellent coding and modelling skills, good communication skills with sufficient proficiency in oral
-
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
-
studies which corresponds to four years. Position description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research focuses
-
and research. By developing systematic process descriptions, open manuals, and pedagogical models, knowledge transfer in real time will be made possible, ensuring that results can quickly be applied in
-
, 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
-
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
-
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