Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
: Required qualifications: Applicants must hold a PhD in Molecular Biology or similar. Experience with cloning techniques and gene expression and analysis in bacteria and/or yeast. Have strong cooperation and
-
Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
-
modelers. Qualifications We seek highly motivated candidates with: A PhD in climate science, forest ecology, biogeochemistry, environmental science, atmospheric science, or a related discipline. Strong
-
Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
-
experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
-
collaboration and impact. Commitment to safe laboratory practices and structured documentation of synthesis and scale-up procedures. Your Profile Applicants must hold a PhD degree in Chemistry, Chemical
-
to translational pharmacology, analytical chemistry, and environmental medicine. The department offers a stimulating research environment with dedicated colleagues and a formalized teaching and training program
-
electrochemistry. Candidates must be familiar with catalysis for carrying out chemical transformations. Candidates must have a PhD in chemistry. Candidates are expected to have significant experience in flow cell
-
Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging
-
of Molecular Biology and Genetics at Aarhus University seeking to understand RNAs role in the onset of Darwinian evolution. The lab takes inspiration from simple natural replicons for engineering RNA systems