Sort by
Refine Your Search
-
Listed
-
Employer
- Universitat de Barcelona
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- ICN2
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Photonic Sciences
- Universitat de Girona
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- BARCELONA SUPERCOMPUTING CENTER
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Barcelona School of Economics
- Catalan Institute for Water Research (ICRA)
- Centre for Genomic Regulation
- Consejo Superior de Investigaciones Científicas
- Fundació Sant Joan de Déu
- IBIMA Plataforma BIONAND
- ISGLOBAL
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidad Pontificia Comillas
- Universitat Autònoma de Barcelona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Univesity of Granada
- 11 more »
- « less
-
Field
-
and biophysics. Develop computational pipelines integrating ASR, structure prediction, and energetic analysis. Apply and/or develop ML/AI methods for protein design and evolutionary inference. Analyze
-
characterization techniques. · Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
-
projects, published manuscripts in peer-reviewed journals. Proficiency in quantitative and/or qualitative research methods. Excellent scientific writing skills, with a track record of peer-reviewed
-
assessment. Knowledge of analytical chemistry techniques used for the detection and characterization of environmental contaminants (e.g., mass spectrometry-based methods, chemical biomonitoring approaches
-
project reporting; ensure optimal use of resources and smooth day-to-day operations. Mentorship and Training: Guide PhD students, postdocs, and technicians in experimental methods and good laboratory
-
methods, with demonstrated ability to implement causal identification strategies (difference-in-differences, instrumental variables, regression discontinuity, quasi-experimental designs). Proven experience
-
advanced methods such as functional connectivity, MVPA, multimodal datasets, or clinical populations. LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Additional Information Benefits Contract Conditions
-
Relativity, and cosmological measurements using GWs such as Hubble constant and probes of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep
-
expertise in electron microscopy, particularly STEM and EELS methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy-related nanomaterials and catalysis is
-
functional levels using shotgun sequencing data (not 16S data) You have first-hand experience writing paper(s) Experience with Nextflow You have proven experience applying statistical methods to large datasets