Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
generation sequencing Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners
-
Excel, Word and PowerPoint. Strong organizational skills and able to work on multiple concurrent activities. Python programming experience is a plus. EXPERIENCE REQUIRED Undergraduate degree or equivalent
-
across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
-
external research funding, and a demonstrated ability to work across disciplines. The candidate will be attached to both the Department and DIAS and should be prepared to engage in multiple and diverse
-
and hybrid detection technologies. Plan, distribute and follow up on tasks with the rest of the team. Report effectively on progress and plans. Publish research results in high-quality scientific
-
students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
-
. The candidate will work across multiple projects that share a common foundation in sensing and control of soft robotic systems. The research will focus on developing simulation and digital twin frameworks
-
explain frontier economic and social phenomena. The professor will be affiliated with both DIAS and the Department of Economics, actively engaging with multiple and diverse research environments at SDU
-
across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
-
your particular niche will be part of the position. The group has a very strong infrastructure and internal teaching program and covers multiple areas of pharmacoepidemiology, including method