Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- United Kingdom
- Norway
- Sweden
- Netherlands
- Portugal
- Denmark
- Australia
- Singapore
- Belgium
- Canada
- Spain
- United Arab Emirates
- Switzerland
- China
- Luxembourg
- Cyprus
- Estonia
- Finland
- Hong Kong
- Italy
- Morocco
- New Zealand
- Andorra
- Bulgaria
- Czech
- India
- Ireland
- Japan
- Malta
- Poland
- 23 more »
- « less
-
Program
-
Field
-
data and IT infrastructure. Combination of different algorithms to test multimodal predictive modelling. Compilation and presentation of data orally at seminars and conferences, as well as independent
-
that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
-
. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
-
datasets, algorithms, and tools for specific AI applications Integrate AI capabilities into existing software systems and applications Collaboration and Documentation (20%) Collaborate with cross-functional
-
algorithms from technical sources (e.g., papers, notes, and group discussions) in close collaboration with group members. The work is primarily algorithmic scientific software development: implementing and
-
-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often leads to ambiguous generation, as different molecules can yield
-
probabilistic generative models for networks; analyze real network data from different application domains; design efficient algorithmic implementations of the theoretical models. You will be supervised by Dr
-
Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
-
analogue field tests; mathematical modelling and simulations; research and integration of novel sensors for robot perception; algorithmic design and computer programming implementation of building blocks
-
to the desired state parameters. The last one will focus on the development of advanced processing algorithms combining information fusion and machine learning in order to improve the robustness of interpretation