Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- University of Amsterdam (UvA)
- Aarhus University
- Leiden University
- Stanford University
- University of Basel
- University of Washington
- AI4I
- Aalborg Universitet
- Academia Sinica
- Argonne
- CNRS
- Chalmers University of Technology
- Charité – Universitätsmedizin Berlin
- Czech Technical University in Prague
- ERATOSTHENES CENTRE OF EXCELLENCE
- European Space Agency
- Gulbenkian Institute for Molecular Medicine
- Indiana University
- Jagiellonian University Faculty of Philosophy
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NIOZ Royal Netherlands Institute for Sea Research
- Nagoya University
- Technical University of Denmark
- University of Minnesota
- University of Tübingen
- University of Utah
- Université de Caen Normandie
- Vanderbilt University
- Washington University in St. Louis
- 21 more »
- « less
-
Field
-
hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics
-
Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity of BaselCountrySwitzerlandCityBaselPostal CodeCH
-
, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote computing clusters - Experience with genome-wide statistical genetics approaches (e.g., GWAS, genetic correlations, PGS
-
The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
-
proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
-
. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and
-
information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
-
methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
-
Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
-
Profile PhD in bioinformatics, computational biology, systems biology, or a related field Experience in genome data analysis (metagenomic/amplicon sequencing) and genome analysis (assembly, annotation