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- Delft University of Technology (TU Delft); 17 Oct ’25 published
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- Eindhoven University of Technology (TU/e); Published yesterday
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of the future, striving to improve healthcare and society as a whole. Where to apply Website https://www.academictransfer.com/en/jobs/356668/phd-in-machine-learning-for-dru… Requirements Specific Requirements
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. Current practices are typically qualitative and ad hoc, which limits comparability and transparency across clients, especially in commercial insurance contexts. This PhD project aims to develop a structured
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culture and cell separation. Skills in flow cytometry, microscopy, genetics or protein structure analysis are considered an advantage. Strong understanding of cellular processes – Knowledge of cell
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using nanopore technologies explore structural genomic differences between populations by combining de novo assemblies into a pan-genome graph perform population genomics analyses on re-sequenced animals
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international academic network. Supervisors: Prof. Louis Visscher (first supervisor) and Dr. Aylin Aydin-Çakır (co-supervisor) Where to apply Website https://www.academictransfer.com/en/jobs/357019/phd-position
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we address the following steps/questions: Characterize the molecular structure and molecular distribution of suitable polymer pyrolysis waste streams to aid modelling of filler-matrix interfaces
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multidisciplinary project at the intersection of Robotics and wildlife conservation. The project aims to develop autonomous drones capable of perching on natural structures, inspired by the way birds rest on branches
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-development opportunities across academic, public, and private sectors. Structured mentoring, leadership training, and professional development. Job description PhD candidate is expected to do the following
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quality, thereby enabling the creation of larger structured substrates. Investing in the prevention of wear particles generation is a way to tackle this issue directly at the source, which is particularly
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the area of finite geometry. Finite geometry studies finite structures that satisfy axioms of classical geometrical spaces such as the Euclidean and projective spaces. In this project, by developing novel