89 phd-position-in-microfluidics-and-biosensors Postdoctoral positions in Netherlands
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- University of Groningen
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- Delft University of Technology (TU Delft); Delft
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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these with quantitative and qualitative research methods to promote a regenerative food system in the Netherlands? If you have a PhD degree and a skill set that puts you in a good position to carry out
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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PhD degree in Chemistry, Material Science or related filed. Solid knowledge and demonstrated skills in polymers chemistry are essential; expertise in physical organic chemistry, coatings and formulation
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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salary from a minimum of € 4,060 to a maximum of € 5,331 gross per month (salary scale 10.4) for a full-time position after obtaining PhD. A holiday allowance of 8% gross annual income and an 8.3% end
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gross per month (salary scale 10.4) for a full-time position after obtaining PhD. A holiday allowance of 8% gross annual income and an 8.3% end-of-the-year allowance. The successful candidate will first
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Universities: a salary from a minimum of € 4,060 (salary scale 10.4) gross per month for a full-time position depending of relevant experience and training after obtaining the PhD. a holiday allowance of 8
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to its success. This position is available within the FH-EARLY project titled “New strategies for the early diagnosis, risk stratification and co-management of familial hypercholesterolemia”. This FH-EARLY