26 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Southern Denmark in Denmark
Sort by
Refine Your Search
-
, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
-
employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
-
”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
-
date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
-
project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
-
models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
-
research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in CRISPR-Cas9 based gene editing. Experience with culturing green microalgae. Experience
-
considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
-
research experience at PhD level in a relevant area such as robotics and control preferably applied to robots with flexible links. The candidate is hence expected to have most of the following qualifications
-
for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions