**Company: ICTP Associateship Scheme Job Description Summary: The Abdus Salam International Centre for Theoretical Physics is seeking applications for a postdoctoral position in the Quantitative Life Sciences section starting in spring 2024. The position is linked to a project funded by the European Research Council, and the selected researcher is expected to conduct research in statistical inference and theory of neural networks. The appointment is for two years with the possibility of renewal. Applicants should have a background in statistical mechanics, random matrix theory, high-dimensional statistics, information theory, machine learning theory, and experience in numerical implementation is a plus. The salary range is between 2100-2700 EUR per month, and benefits include health insurance, pension contributions, travel funds, and computer equipment. Applications should include a cover letter, updated CV, statement of research interests, and letters of recommendation. Contact information is provided for additional inquiries. Job Description: The Quantitative Life Sciences (QLS) section of the Abdus Salam International Centre for Theoretical Physics (ICTP) seeks applications from outstanding scientists of any nationality with a strong research record for a postdoctoral position starting during spring 2024. The position is linked to the project CHORAL GA 101039794 on the «Computational Hardness Of RepresentAtion Learning» funded by the European Research Council, with Dr. Jean Barbier as Principal Investigator. The selected postdoctoral researcher is expected to carry out active, independent and multidisciplinary research in the broad area of: Statistical inference and theory of neural networks: statistical mechanics, random matrix theory, information-theoretic and algorithmic aspects The appointment will be made for two years, with the possibility of renewal for up to one additional year. Candidates should have a background in some of the following disciplines: • Statistical mechanics, disordered systems and spin……… glasses (maths or physics) • Random matrix theory • High-dimensional statistics and probability • Information theory, signal processing, statistical inference • Theory of machine learning, gradient-based dynamics • Theory of message passing algorithms Experience in the numerical implementation of inference and machine learning algorithms in addition to the analytic skills is a plus but is not mandatory. Statistical Physics, Information Theory, Machine Learning Entitlements The net monthly salary ranges between 2100–2,700 EUR depending on seniority . Benefits include a private health insurance, a pension contribution, special allowances for family members, competitive travel funds as well as computer equipment. How to apply Applications and expressions of interest are welcome. Applications should include a cover letter, an updated Curriculum Vitae including the full list of publications, a statement of research interests, and two or more letters of recommendation. Incomplete applications will not be considered. Contacts Additional information about the project can be found: here . For additional enquiries and expressions of interest, please contact: Visualizzare la mail su click.appcast.io The selected postdoctoral researcher willcarry out active, independent, multidisciplinary research in: Statistical inference and theory of neural networks; statistical mechanics, random matrix theory, information-theoretic and algorithmic aspects Quantitative Life Sciences Section, ICTP, Trieste Two years, with the possibility of renewal for up to one additional year #J-18808-Ljbffr Company: ICTP Associateship Scheme Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Italy, Machine Learning, Neural Networks, NLP Company: ICTP Associateship Scheme Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Italy, Machine Learning, Neural Networks, NLP
Company:ICTP Associateship Scheme
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
