Sort by
Refine Your Search
-
the power of direct sequencing and AI to provide rapid, accurate detection and characterization of pathogens, enabling risk managers in the food industry to make better-informed decisions. Your primary tasks
-
/sections/2dphys . You can read more about DTU Physcis at www.physics.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
-
Associate Professor Francesco Rosati (frro@dtu.dk). You can read more about DTU Entrepreneurship at www.entrepreneurship.dtu.dk . If you are applying from abroad, you may find useful information on working in
-
at www.food.dtu.dk and the Genomic Epidemiology Research Group at: https://orbit.dtu.dk/en/organisations/research-group-for-genomic-epidemiology If you are applying from abroad, you may find useful information
-
find working solutions to major research challenges in an ambitious field of quantum technologies. More specifically, you will be: Building advanced optical setups for cutting-edge experiments in quantum
-
models to detect food safety compliance risks Integrate regulatory, environmental, and microbial data from food SMEs Design user-friendly decision support systems for inspectors and producers Co-create and
-
to find ways to increase profits, and they might do this in ways we didn’t anticipate. This project is about investigating what kind of market equilibria emerge from these multi-agent market interactions
-
Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
-
Francesco Pastorelli (frapa@dtu.dk ). You can read more about DTU Wind and Energy Systems at www.wind.dtu.dk If you are applying from abroad, you may find useful information on working in Denmark and at DTU
-
AI models. Identifying relevant modalities to enhance prediction performance, with a focus on multi-spectral sensors, will be a key research area. Additionally, anomaly detection for modalities other