Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Spain
- Norway
- Italy
- Netherlands
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Hong Kong
- Ireland
- Canada
- China
- Austria
- Czech
- Finland
- Japan
- Worldwide
- Bulgaria
- Cyprus
- Estonia
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Brazil
- Saudi Arabia
- Armenia
- Croatia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
-
Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 7 days ago
—including translation efficiency prediction models, RNA secondary structure analysis, codon-pair and harmonization algorithms, and immunogenicity risk prediction tools—to help guide experimental design and
-
environments (preferred). You possess the ability to conduct independent research and develop novel algorithms. You have strong analytical and problem-solving skills. You have a research-oriented mindset and
-
developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more
-
Diego, USA). By bridging experimental neurophysiology with advanced algorithmic design, we aim to significantly enhance the understanding of high-dimensional neural activity patterns. The successful
-
to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
-
for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant response behavior (such as rapid guessing, cheating, or careless responding
-
will develop and evaluate fault detection and fault location algorithms for these systems. The project is funded by GE Vernova under a wider collaboration with Imperial College London. You will be co
-
courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
-
processing capability; 3. Implementation of pre-processing, anomaly detection, and self-calibration algorithms; 4. Integration with IoT communication systems selected in Task 3.2; 5. Laboratory and relevant
-
Autónoma de Madrid, and funded by the Community of Madrid. Among the tasks to perform are: Management and preprocessing of audio databases. Design, implementation, and testing of deep learning algorithms