Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aarhus University
- Aalborg University
- Technical University Of Denmark
- University of Copenhagen
- ;
- ; Technical University of Denmark
- ; University of Cambridge
- Aalborg Universitet
- Aarhus University;
- CRUK Scotland Institute
- Copenhagen Business School , CBS
- European Magnetism Association EMA
- Technical University of Denmark;
- 6 more »
- « less
-
Field
-
Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
to the PhD position must have a relevant Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g
-
electricity markets, in particular intraday, ancillary, and spot markets Proficiency in Python, MATLAB, Julia, and GAMS for data analysis and optimization Experience with price forecasting, demand modelling
-
decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
-
Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
-
Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
-
., Carnot batteries, heat pumps) and/or energy storage technologies. Proficiency with scientific tools such as EES, Modelica, TESPy, or similar libraries. Strong programming skills in Python or MATLAB
-
- Experience with python, C or scripting - Experience with machine learning - Experience with drone related activities For further information about the position and the application procedure, please contact
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
), serious gaming, agent-based simulation, knowledge of relevant research methodologies and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g., Python, C#, C++) and
-
, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
-
supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and