Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
-
, with a focus on informatics or AI Good knowledge in programming with python and on software development Knowledge on LLMs and langchain is a plus Analytical and structured mindset Good knowledge
-
Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
-
pursuing a Bachelors or Masters degree in engineering, physics, mathematics or computer sciences and related discipline and/or an unaffiliated recent graduate with a Bachelor/Master degree from
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
using Multimodal AI models as per the preference of the student. What you bring to the table PyTorch, Multimodal AI, Gaussian-Splatting, Image Processing (AI Approach). OR Experience with loading and
-
on microscopes Experience with data analysis (in particular image analysis) in a programming language (ideally Python) Experience with image processing software (e.g. ImageJ, Imaris, Arivis, Amira) Experience with
-
Electrical Engineering / Mechatronics / Automation Engineering / Computer Science or related fields Interest in battery technologies and electromobility Basic knowledge of electrochemistry or willingness
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology