Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Wageningen University and Research Center
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Wageningen University & Research
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- Radboud University
- Radboud University Medical Center (Radboudumc)
- University of Twente
- Wetsus - European centre of excellence for sustainable water technology
- 3 more »
- « less
-
Field
-
data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R, C++, or MATLAB is considered a strong asset. Experience with fieldwork or working with soil
-
medicine, psychology, or similar. Moreover you have: Experience or interest in radiology and/or medical imaging and affinity with biomedical research. Experience with SPSS, SAS, or R is required. Excellent
-
research methods, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a
-
) Knowledge in programming (e.g. Pyhton, R, SQL) and data science frameworks (TensorFlow, PyTorch, Scikit-learn) is a plus Excellent English language skills What we offer As a PhD Candidateat Faculty of Health
-
case of a degree focused on health) Affinity with health promotion or willingness to develop in that field (in case of a degree focused on data science) Knowledge in programming (e.g. Pyhton, R, SQL) and
-
, and often visiting, one of the foremost GaN R&D groups in the world, part of TNO in The Hague. This group is the leading group on phased-array technology, now already for more than 30 years. For phased
-
, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a scientific mindset
-
Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
-
spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with bacterial genetic engineering or mammalian cell culture is a plus; good project and time management skills
-
)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in