Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Groningen
- CWI
- European Space Agency
- University of Twente
- Utrecht University
- Erasmus University Rotterdam
- AcademicTransfer
- Leiden University
- Radboud University
- Wageningen University and Research Center
- Radix Trading LLC
- ; Max Planck Institute for Psycholinguistics
- Nature Careers
- Universiteit van Amsterdam
- University of Utrecht
- Wageningen University & Research
- 6 more »
- « less
-
Field
-
of Science and Engineering (FSE). We conduct fundamental research on self-learning materials and systems for the next generation of computer chips. These chips must address growing data traffic and rising
-
and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
-
performance in accordance with the respective service level and application of internal processes. This includes contributing to risk management definition, mitigation actions and lessons learned exercises
-
and to acquire valuable research experience. The PhD Project Life in the Greek-speaking cities of the Eastern half of the Roman Empire was infused with cultural interactions and the rich and pluralistic
-
, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
-
. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
-
on methods such as functional connectivity analysis, brain network analysis, or machine learning; Excellent scientific writing and communication skills in English; Ability to work independently while
-
for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
-
well as stimulating the use of campaign data in new EO domains (such as big data analytics, artificial intelligence and machine learning); initiating and conducting in-house and external scientific studies to support
-
PhD* in a topic such as animal acoustics, machine learning, quantitative ecology, quantitative biology, signal processing or similar. Evidence of the ability to conduct high-quality research and write