Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
-
qualifications You hold a PhD in physics, chemistry, chemical engineering, materials science, or a related discipline, and you have experience with catalysis in the context of sustainable energy solutions. You
-
Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
for collaboration across sections, departments and faculties, and with other educational institutions, municipalities, and industries. The degrees offered by the department include BSc, MSc, and PhD degrees in
-
24 Oct 2025 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Chemistry and Bioscience, Chemical and Bioengineering Research
-
. Explanation of the grading system for foreign education (Diploma Supplement if available) Documentation of English proficiency Contact information for 2-3 references PhD thesis, and any other relevant academic
-
, HPLC, GC-MS, ICP-MS, Dumas Flash, ect. Your competencies The applicant must hold a PhD degree in chemical engineering, bio-medical engineering, bioengineering, biochemistry, biotechnology, or a similar
-
At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from
-
the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
-
the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
-
in combination with extensive GWAS data available at CBMR, this work will provide unprecedented resolution in mapping genetic risk of metabolic diseases across tissues and cell types. As part of our