-
, AI or a related field; Strong programming skills (e.g., Python, PyTorch); Familiarity with modern ML frameworks and experience with large-scale models; Interest in interdisciplinary research
-
PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts
-
or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
-
, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
-
programming skills (Python/C++); Proven interest in generative models and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command
-
NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch
-
programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch); Interest in interdisciplinary research (e.g., HCI
-
(preferably in Python); Interested in contributing to educational activities; Excellent proficiency in English (oral and written). Research at our faculty The Faculty of Science is a world-class faculty where
-
; Experienced with writing scientific manuscripts and excellent academic writing skills; Excellent programming skills (preferably in Python); Interested in contributing to educational activities; Excellent
-
interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python