Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. Teach possibly 1 course of up to 6 ECTS. Assist in the guidance of 2-3 PhD candidates on a similar topic. Lead or support grant writing for additional (postdoc) funding proposals. Supervise 4-6 MSc
-
:00 Department LA20 - Department of Environment Contract Limited duration Degree PhD in Mechatronics Engineering, Agriculture Engineering (not agronomy), Biosystems Engineering or Mechanical Engineering
-
ranking) The possibility to take part in international conferences and collaborations and to become a multidisciplinary researcher Eligibility criteria You have a PhD on a relevant topic in civil
-
meetings with internal or external customers. • Contribute to writing scientific publications with the team • Co-supervise Master students and interact with PhD students working on related topics
-
will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on
-
Description We are looking for several highly motivated PhD and/or postdoc candidates with a background in photonics and an interest in machine learning or in combinatorial optimisation, for several research
-
related to staff position within a Research Infrastructure? No Offer Description Teaching Candidates are expected to teach Philosophy courses at all levels, mainly in Dutch. The teaching assignment (from 2
-
Learning R&D, etc.) if they fit with the primary analysis activity. Applicants should have a PhD in Particle Physics, or expect to have it within the next few months. The funding rules require
-
are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive
-
on the topic the development of a machine learning-based powertrain digital twin and smart preconditioning for fast-charging applications. Tasks include: Simulation of the map-based and data-driven powertrain