Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
-
well as experience in automated fabrication and mechanical characterization. A solid background in modelling and system identification is essential, with particular emphasis on data-driven and machine-learning–based
-
catalysts for the synthesis of a range of industrially valuable compounds. This PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning
-
polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
-
) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric eNzyme and bioproCess dEsign), and it will focus on: Expression, characterization and application of enzymes from University of Turin and other
-
background in bioinformatics, machine learning, single-cell omics, statistics, or genomic medicine, and a keen interest in obesity, diabetes, and cardiovascular disease. Background The Novo Nordisk Foundation
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
with core computer science or AI, and must be able to teach computer science courses at the bachelor and master levels. The ACP section Successful applicants will join the section of Artificial
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
strengthen or add to our competences. We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ and the SustainAI group’s website https://sustainai.sdu.dk for more
-
mechanics, vibrations, and their active control, as well as machine elements and design optimization. The section has a scientific staff of about 25 people and 20 PhD students. The research rests
-
problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control