Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
characterize target workloads for the FNS 6G initiative (e.g., data analytics pipelines, network functions virtualization, data‑plane acceleration).- Investigate what techniques and abstractions are most
-
, development, innovation Researcher Technical and laboratory You are signed up for the Job alert Previous Next Sign up Cookies We use cookies and similar technologies to process your personal data (e.g. IP
-
flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
-
/metabolomics/transcriptomics [desirable] Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and
-
academic and societal debates. Candidates are invited to submit a two-page research proposal outlining a potential analytical approach for this position. While the scope is not restricted to predefined
-
Your job Do you consider the availability of safe food as one of the great challenges of our era? Are you eager to take on the challenge of improving analytical techniques in the plant toxin field
-
Apply now Are you interested in helping to realise long-term sustainable futures and solve short-term challenges? Do you have a keen analytical eye as well as the social skills to connect people? Are you
-
geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
-
qualitative methods (candidates with experience in conducting ethnographic observations and interviews/focus groups are preferred). Excellent analytical skills and the capacity to do innovative
-
architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation