Sort by
Refine Your Search
-
: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
-
Learning, addressing challenges in counter drone swarm formation and defense Design and conduct experiments using both simulation environments and real-world deployments with the nano-drones
-
development of new project proposals. • Supporting knowledge transfer and demonstration of developed solutions in real or simulated industrial scenarios. Is Your profile described below? Are you our future
-
one of them, please resubmit your application for each of the openings separately. Key responsibilities: analyse and interpret global ocean biogeochemical output of Earth system model simulations
-
analyse data from krill fishing operations and explore the potential impact of the fishery on krill populations. This will be achieved through the use of empirical approaches and simulation models exploring
-
false positives and maximizing robustness. Validate the pipeline using diverse and regulatory-relevant samples, supporting future accreditation. You will work closely with a multidisciplinary team of
-
biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
-
, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The incumbent
-
communication skills, and be able to conduct independent research. Interested parties should attach to their application and send a copy of their CV, a brief statement of research interests, and contact
-
, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering