-
grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
-
thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
-
clinical sample collections and pre-clinical models that more comprehensively capture the cellular and molecular heterogeneity of this multi-focal cancer. Your job responsibilities As Postdoc in prostate
-
with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in Memory (PROMEMO) funded by the Danish National Research
-
research project should fit within one of these. The successful candidates will be employed in the relevant department. You will become part of a research group that concentrates on a specific field within
-
(www.klinisk.aau.dk) Each department is organized in a number of research groups, and the proposed research project should fit within one of these. The successful candidates will be employed in the relevant department
-
(www.klinisk.aau.dk) Each department is organized in a number of research groups, and the proposed research project should fit within one of these. The successful candidates will be employed in the relevant department
-
contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
-
microscopy and imaging approaches Hands-on experience with genome editing technologies (CRISPR-based techniques) Hands-on experience with cellular differentiation systems, stem cell biology and cellular models
-
, C++, or equivalent) Experience with 3D modelling, rendering, or fabrication, and haptic feedback Familiarity with computational or optimization methods applied to interaction (e.g., computational UI