Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
-
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
-
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
-
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
-
Research Council (NWO), which investigates foundation models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer
-
in high-tech, medical, and energy systems. Information Modern engineering increasingly relies on data-driven models to describe complex dynamical systems. Scientific machine learning is now enabling a
-
Are you a MSc graduate with background in data science, computer science, biostatistics, bioinformatics or a related field? Do you have a solid foundation in machine learning? Are you passionate
-
; an excellent background in bioengineering, biomaterials, hands-on experience of primary cell culture, organoids, or microfluidic systems; experience on or willing to learn anaerobic microbial cultivation and
-
benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics
-
an inclusive, collaborative research culture. What we ask of you You are a curious and rigorous researcher who enjoys learning across disciplines. You can translate an ambitious methodological idea into a