Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
-
Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
-
-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
-
of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
-
of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
-
an international research environment spanning communication theory, networking, information theory, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who
-
statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
-
experience implementing and evaluating machine learning models for protein sequences. Strong analytical skills and an interest in interdisciplinary research. Proficient communication skills and ability to work
-
) Positions PhD Positions Application Deadline 4 Sep 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Permanent Job Status Full-time Hours Per Week 37 Offer Starting Date 27 Apr 2027 Is the job
-
activities, i.e. popular lectures or other activities in the media Grants held, personal or in part. Career development grants. Diplomas (Master and PhD degree or equivalent) Research plan - description