Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- European Space Agency
- Heriot Watt University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- Technical University of Denmark
- Technical University of Munich
- University of Washington
- VIB
- Washington University in St. Louis
- ;
- Argonne
- Boston University
- Centre for Genomic Regulation
- Duke University
- Durham University
- Forschungszentrum Jülich
- Institut Pasteur
- KINGS COLLEGE LONDON
- Leibniz
- Max Planck Institute for Astronomy, Heidelberg
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Radboud University
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of Miami
- University of New South Wales
- University of Oklahoma
- University of Southern Denmark
- University of Tübingen
- University of Utah
- Vanderbilt University
- Wageningen University and Research Center
- Western Norway University of Applied Sciences
- Yale University
- 31 more »
- « less
-
Field
-
healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
-
the successful software package VASP (Vienna ab-initio Simulation Package). Currently, the group consists of two full professors, one associate professor, several postdocs and about 10 PhD and master students
-
Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 21 August 2025 Apply now Do you want
-
data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets. We are seeking a motivated
-
information see https://www.kuleuven.be/personeel/jobsite/jobs/60473129 Job description Design and implement chemometric and machine learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify
-
qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
-
training students Maintain analytical equipment Cooperate with other large collaborative projects of the research group Qualification: Required: A diploma and a PhD in microbial natural product chemistry
-
of the extracts; LC-MS and bioactivity-guided isolation and structure elucidation of the purified metabolites Supervising and training students Maintain analytical equipment Cooperate with other large collaborative
-
Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
-
is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your