Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- United Kingdom
- Portugal
- Netherlands
- Germany
- Norway
- Spain
- Belgium
- Italy
- Poland
- Sweden
- Australia
- Canada
- Denmark
- Finland
- United Arab Emirates
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Japan
- Hong Kong
- India
- Mexico
- Romania
- Brazil
- Cyprus
- Greece
- Saudi Arabia
- Slovenia
- Bulgaria
- Croatia
- Czech
- Estonia
- Iceland
- Lithuania
- Malta
- 31 more »
- « less
-
Program
-
Field
-
RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply
-
of the postdoctoral fellow will include: conduct scientific research in the field of machine learning. develop novel machine learning algorithms primarily for representation learning, dimensionality reduction
-
of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
-
systems. Examples of research topics include advanced motor control using digital control algorithms (e.g., model-predictive control, adaptive controllers) and their implementation on digital platforms (e.g
-
theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI
-
environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
-
plans. Supported by correlation algorithms applied to telemetry, irrigation, and nutrient data, information integrity is ensured for both regulatory purposes (through automated report generation) and the
-
for neuromorphic devices based on the dynamics of magnetic skyrmions. The main objective is to use the equilibrium propagation algorithm — EqProp — to design local learning rules adapted to skyrmionic systems
-
PhD in organic chemistry (M/F) – Development of self-optimizing flow reactors for chemical reactions
revolution which is going to profoundly modify the way chemists think and perform chemical transformations. Chemistry 4.0 will massively take advantage of integrated information technology systems, algorithms
-
Duke University - Biochemistry & Cell Biology | Durham, North Carolina | United States | about 2 months ago
positions in deep neural networks for biology. Successful candidates will have a strong interest in developing, interpreting, and applying new AI algorithms and models, motivated by biological research in