57 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at SciLifeLab
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
-
seeking a skilled and results-oriented Senior Research Engineer motivated by supporting researchers in other fields with excellent technical service. Further information about the service facility is
-
guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and
-
with nano-LCs. Performing data analysis and interpretation using established proteomics software and tools, such as Proteome Discoverer, Spectronaut, Skyline, Byonic, Perseus and R-based Shiny
-
contact information (e-mail and telephone) to two reference persons who have agreed to act as reference for you. Please also describe the relationship with that person. The application can preferably be
-
information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
-
. Further information about the position can be obtained from Dr. Stefano Papazian, Head of National Facility for Exposomics, phone: +46 (0)8 16 36 05, stefano.papazian@aces.su.se . Application Apply
-
workplace free from discrimination and with equal opportunities for all. Further information about the position can be obtained from Dr. Marta Carroni, phone: +46 8 16 10 13, marta.carroni@scilifelab.se
-
university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
-
Troubleshoot experimental procedures and improve robustness and reproducibility Document experiments and manage data in a structured and reproducible manner Collaborate with experimental and computational team