-
: Design and optimization of graphene edge to edge tunning device structures, and electronic signal detection. Design and test of microfluidic structures in combination with the tunneling device. Taking
-
engineer to significantly redesign it and build the next generation of the OpenML platform. Key publication: What you will do Goals and core tasks: Optimize accessibility for all experience levels via
-
-society dialogue and building public trust in the knowledge production process, ‘open engagement with societal actors’ is recognised internationally as a core element of Open Science (OS). However, current
-
-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
-
outputs for Open Science monitoring (INCVIS) Given its potential for facilitating science-society dialogue and building public trust in the knowledge production process, ‘open engagement with societal
-
expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
-
vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
-
://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive community is central to Leiden University’s values and vision. Leiden University aims to be
-
. The research is broadly focused on automated intervention design. An intervention is any external interference in an ongoing process that is performed to achieve a particular outcome. Being able to answer
-
remote sensing data. What you will do Changing fire dynamics will be studied using a Dynamic Global Vegetation Model (DGVM), allowing us to quantify different mechanistic processes. Using high-resolution