Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
-
to algorithmic decision-making in transport, welfare, policing, and urban planning – exposes the deeply sociotechnical nature of contemporary urban governance. In response to growing concerns about discrimination
-
the capabilities and improve the robustness in different application scenarios we are aiming at several show-case topics like visualization of small tumor sites, metastasis, visualization of immune cell recruiting
-
for image classification and other domains against existing open source LLM (e.g., Llama 3, Phi-3), as well as develop new kinds of attacks, for example based on evolutionary algorithms. 2. Investigate
-
and participation in international conferences. Since you will be part of the research center, which consists of researchers with different backgrounds, you are expected to participate and contribute
-
Aim: To predict the rate of hair loss or recovery in people with alopecia using computer vision and Artificial Intelligence (AI) algorithms. Objectives: Automate the hair segmentation process and
-
motivation for the subject Analyze data, assess different perspectives, and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed
-
different nationalities, backgrounds and fields. As a PhD student working with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along
-
of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
-
sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments