Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Chalmers University of Technology
- Nature Careers
- Linköping University
- Umeå University
- Örebro University
- Blekinge Institute of Technology
- Swedish University of Agricultural Sciences
- ;
- Mälardalen University
- KTH
- Linnaeus University
- Lulea University of Technology
- Lund University
- WORLD MARITIME UNIVERSITY (WMU)
- 6 more »
- « less
-
Field
-
methods, including modern machine learning methods, to draw inferences from register data. A third project “Integrative machine and deep learning models for predictive analysis in complex disease areas“ is
-
(causal inference and pathobiology). iii) Integrating knowledge of clinical implementation channels. Other tasks may also be assigned. Eligibility Students with basic eligibility for third-cycle studies
-
) predict molecular expressions, (ii) translate computational insight into patient-behaviour, and (iii) implement both supervised and unsupervised methods to infer stroke risk from pre-operative input data
-
and advanced causal inference methods to large-scale multi-omics datasets, national health registers, and other comprehensive health-related data sources. Duties The doctoral position is intended
-
prehistoric individuals, to make inferences about demographic history, migration and admixture patterns, and signals of adaptation. The project will include computational analysis of archaic introgression and
-
statistical inference. Experience with cardiometabolic diseases research These qualifications will be used for ranking candidates, by assessment of competence and proficiency, applicants which are deemed
-
quantitative skills, a reasonable track record, and an enthusiastic approach to science. The applicant is expected to: have strong background knowledge of the physiology of primary sensory afferents and
-
track record, including high-impact and highly cited publications. Good knowledge in English, oral and written. Additional merits Expertise in web programming and web application development. Expertise in
-
of the appointment. However, the total appointment period may not exceed eight years. The appointment is part of the Tenure Track system at KTH and the assistant professor may apply for promotion to tenured associate
-
. Strong track record demonstrating proficiency in molecular biology methods is necessary. Specific experience in cancer genetics or single-cell genomics will be useful but is not a requirement. Terms and