97 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in Netherlands
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knowledge through your experiments and analyses, hone your critical thinking skills and develop into an independent scientist. You will carefully document your findings and share them with others, for example
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aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis
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pursue research on the development of host-directed therapeutics for mycobacterial infections. Mycobacterial infections are among the top 10 cause of death globally. Although cases of tuberculosis (Mtb
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promising avenue to support a healthy, multi-functional and future-proof soil and farming system. Together with regenerative Dutch farmers, ReGeNL is developing a future-proof agricultural sector in which
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about how criminological knowledge is applied in practice and whether and how this knowledge is used in policy development? Then this PhD position might be for you. Erasmus School of Law, department Law
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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
to uncover the regulatory functions of ADP-ribosylation and to develop innovative therapies for cancer, viral infections, neurodegenerative, and autoimmune diseases. The goal of the proposed research is to
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NeuroAI of Developmental vision (m/f/x) to work on: The Curriculum of Sight - How Visual Processing Develops in Brains and Machines. For animals, it is imperative to learn as quickly as possible. To do
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies