Sort by
Refine Your Search
-
reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
-
Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical foundations. Candidates should possess an exceptional academic record and a strong mathematical...
-
position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.
-
. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
-
of research methods and statistics; ideally you are familiar with analysing quantitative survey data; in case, willingness to learn these skills independently. High level of commitment, intrinsic motivation
-
, and molecular mechanisms of disease High motivation to learn advanced spectroscopy techniques (NMR, smFRET) Excellent communication skills and ability to work in a collaborative environment Desirable
-
to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports its members with
-
, chaperone biology, and molecular mechanisms of disease High motivation to learn advanced spectroscopy techniques (NMR, smFRET) Excellent communication skills and ability to work in a collaborative environment
-
opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports its members with