Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Technical University Of Denmark
- Copenhagen Business School
- Graduate School of Arts, Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- Danmarks Tekniske Universitet
- NVIDIA Denmark
- 3 more »
- « less
-
Field
-
bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
-
candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
-
, material processing, and/or atomistic simulations is an advantage. Excellent analytical skills and proficiency in scientific programming (e.g. in python) are an advantage. Excellent oral and written
-
) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
-
characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C plusplus; ; and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
-
) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
-
with Robotics Excellent programmer in Java / C / Python / ROS or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
-
or Python Can work independently and demonstrate critical thinking This is a part-time position with flexible working hours. The estimated workload is 10 hours per week. The expected start date is 1 April
-
Multiphysics, MATLAB, or Python Familiarity with device-level simulations and multi-physics approaches Self-motivated and able to work independently while contributing to a collaborative research environment
-
(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources