Sort by
Refine Your Search
-
relevant, industrial-scale experiments; processing, modelling and statistically analysing research data and translating the results into practical recommendations and guidelines for the agri-food industry
-
. There is no limit on prior research experience, as long as you do not already hold a doctorate. A master's degree (or equivalent) in biochemistry, molecular biology, microbiology, biotechnology, biomedical
-
, an internship, a thesis or industry. Practical experience with sample preparation or operation of, or the ability to interpret results from, analytical techniques such as FTIR, SEM/EDX, ICP-OES/MS, LC-OCD or ion
-
Expertise in sensor design and integration, preferably in wearable or biomedical devices. Familiarity with electrophysiological signal acquisition (EEG/EOG/EMG) and signal processing. Experience with PCB
-
We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation
-
engineering, or mechanical engineering. You preferrably have experience with concrete or cement based single or mutiaxial load tests on standard specimens using digital image correlation based result analysis
-
systems. Knowledge of integrated circuit design methodologies and EDA tools is considered a strong asset. Experience with analog circuit design, ADCs, sensor readout electronics or mixed-signal systems is
-
an advantage. Previous international research experience will be seen as a strength. Applicants must be highly motivated, driven to perform state-of-the-art research, and exhibit excellent written and
-
degree (preferably) in bio-medical sciences, bio-technology, bio-engineering, pharmaceutical sciences, human medicine, veterinarian medicine or biology. You have experience with laboratory work related to
-
for the detection and quantification of soil compaction. You will conduct field experiments on arable and horticultural farms and collect, analyze, and interpret soil and crop data. You will evaluate innovative