Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Technical University of Denmark
- Aarhus University
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Roskilde University
- Technical University Of Denmark
- Technical University of Denmark - DTU
- Technical University of Denmark;
- 2 more »
- « less
-
Field
-
iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
Do you have a passion and vision for developing new platforms for scalable microbial electrosynthesis of CO2 to methane? Come and be part of the team of Profs. Alfred Spormann at the NNF CO2 Research Center to unlock the power of science and technology! Starting date and duration of...
-
to network modelling, network theory and/or network meta-analyses. Fluency in programming as needed for network analyses (e.g., R/python) Strong analytical, organisational, and record-keeping skills
-
for a candidatewhocanextend and complement the research profile of the group with the main research emphasis on: GNSS remotesensing and reflectometry (GNSS-R) with a focus on land surface processes
-
characterization will be prioritized. Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended. Further Technologies: Experience in protein 3D structure prediction
-
/or R Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Excellent problem-solving, organizational, and communication skills Demonstrated ability to work both
-
. Proficiency in programming languages such as Python, MATLAB, or R, and familiarity with data analysis libraries (e.g., NumPy, SciPy, Pandas). Demonstrated ability to work collaboratively in a team setting and
-
. Experience with omics approaches. Working with human pathogenic bacteria. Molecular studies of AMR mechanisms. Data-analysis skills (R-Studio or similar). Knowledge of or interest in natural product chemistry
-
, AAAI, ECAI, and TMLR. The postdoc will join the PSAI research group and will be supervised by Associate Professor Andrés R. Masegosa (andresmasegosa.github.io ), methodological PI of the DK-Future
-
to target leading venues such as NeurIPS, ICML, ICLR, AISTATS, AAAI, ECAI, and TMLR. The postdoc will join the PSAI research group and will be supervised by Associate Professor Andrés R. Masegosa
-
sample preparation Desirable Qualifications Prior experience with negative ion mode MS is an advantage Interest in computational proteomics workflows Programming or scripting skills (e.g., Python, R