66 parallel-processing-bioinformatics positions at Wageningen University and Research Center in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
-
combine molecular genetics, proteomics, bioinformatics and spectroscopy approaches. We apply this integrated approach to elucidate the function of key proteins in a variety of biological processes
-
pollution; perform R&D on the processing, performance and end-of-life of (biobased) polymer products. Studies can be experimental, theoretical (desk- and literature studies), or both; report the results
-
, host responses, bioinformatics, pathology, epidemiology, and diagnostics enables WBVR to advance its mission and vision. WBVR contributes to a society in which animals and humans live healthily together
-
Network (FSDN), we work with a data management platform for data collection and modelling. Our management team needs additional expertise to better map out processes and data models and to optimize
-
want more information? For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with
-
, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter, via jessa.rozema-stol@wur.nl Ready to apply? Click
-
the work processes in such a way that the team can achieve optimal results, with everyone taking responsibility; monitoring the quality of project execution. You maintain oversight of all projects within
-
. Do you want more information? For more information about the position, please contact Renske Hijbeek, associate professor, via 06-26530485 or email:renske.hijbeek@wur.nl Questions about the procedure
-
collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental