Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- University of Lund
- Nature Careers
- Örebro University
- Linnaeus University
- Linköping University
- Lulea University of Technology
- Jönköping University
- Mälardalen University
- Karlstad University
- European Magnetism Association EMA
- 4 more »
- « less
-
Field
-
, or equivalent, a transcript of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy
-
on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
-
with a human-centric, sustainability-driven approach. The Postdoctoral researcher will work on using AI-powered methods, testing, and simulation technologies for the verification and validation
-
list with your publications (describe also your contributions for each paper with no more than four sentences). A copy of the PhD certificate and other relevant degree certificates. Names and contact
-
research and future research interests (no more than two pages) contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you wish to be
-
of reference genomes, annotation, and characterization of transposable elements) with population genomics (such as variant calling and analyses of hybridization), and simulation-based approaches. This Postdoc
-
, computer simulations and various statistical approaches to increase understanding of the ecological and evolutionary processes that underlie speciation and ecological diversification in the context
-
references where appropriate and be created without the support of generative AI. Copies of grades and diplomas. Copy of thesis/degree project. Contact details with e-mail addresses of at least two referees
-
interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to
-
, biophysics Machine learning and generative AI Molecular modeling and molecular dynamics simulations LNP formulation and characterisation including e.g. small angle scattering, microscopy, single particle