901 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" uni jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Austria
- Germany
- United Kingdom
- Denmark
- Spain
- Worldwide
- India
- Canada
- France
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Sweden
- United Arab Emirates
- Belgium
- Singapore
- Italy
- Australia
- Finland
- Luxembourg
- Netherlands
- Poland
- South Korea
- Taiwan
- Argentina
- Barbados
- Guadeloupe
- Israel
- Japan
- Norway
- Portugal
- Vietnam
- 24 more »
- « less
-
Field
-
: Special Skills, Knowledge and Abilities: Is open to any type of change or new idea presented. Shows eagerness to learn from different avenues. Addresses needs/ problems in a logical manner, using defined
-
of extra funds to recruit additional team members full institutional support for securing ERC grants and attractive permanent positions; CeMM PIs were able to acquire all sorts of ERC Grants (Starting
-
of working with online and digitally enhanced learning Knowledge of university processes and structures What we offer: Work-life balance: Our employees enjoy felxible working hours, remote work (upon agreement
-
maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
-
Life. When you work at St. Jude, you'll join a highly collaborative work culture that inspires you every day to be your best. With opportunities for learning and growth, you can shape a career path that
-
models (e.g., deep learning, reinforcement learning, probabilistic graphical models) for applications in genomic prediction, GWAS, GS, gene-editing target discovery, and multi-trait selection. Conduct
-
receive a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed
-
often struggle with domain shift, limited generalization, and the gap between simulation and deployment. These challenges motivate the development of advanced spatio-temporal learning frameworks that can
-
for engineering biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine
-
building projects required. Experience with computer-aided drafting (AutoCAD) and Microsoft Office (e.g., Excel, Word, PowerPoint). Familiarity with current technical environmental impact assessment