ANALYSIS OF BREAKTHROUGH INNOVATIONS IN THE PHRAMACEUTICAL SECTOR THROUGH A COMPLEX NETWORK APPROACH
Descrizione dell'offerta di lavoro
The ideal candidates are researchers with a background in network theory and statistical explorative analysis.
Previous experiences in conducting interdisciplinary research is considered a plus.
The candidate is expected to be familiar with statistical packages (e.
., Stata, R), programming tools (e.
., Python, Matlab) and qualitative data analysis.
Candidates should have strong communication skills, a demonstrated capacity or potential for high-quality research, and a team-oriented attitude.
Above all, we are seeking a highly passionate, committed and collaborative candidate.
Activity The selected candidate will work within the PRIN project "The Role of the Public and Private Sectors in Pharmaceutical Breakthrough Innovations " that aims at providing novel insights on the determinants of the commercial success of some of the breakthrough innovations throughout (i) robust econometric methods and (ii) network theory approaches applied to the network of patent citations in order to investigate the relevance of factors such as the role of the public and private sectors, the demand conditions, the main subjects.
The selected candidate will be mainly involved in the development of the point (ii) of the project deeply investigating the structure of the patent citations network and its over time evolution with particular attention to the role of private and public sectors.
Formal requirements Master Degree in Economics, Statistics, Physics or a related field; Ph.
.
in Economics, Statistics, Physics or a related field; The candidate must have a curriculum with a suitable scientific background for carrying out research activity; An excellent level of both written and spoken English is mandatory Specific requirements Knowledge of Matlab or Python.
Duration 1 year, renewable Gross amount € per year SSD ECON-02/A - Economic Policy Project PRIN “The Role of the Public and Private Sectors in Pharmaceutical Breakthrough Innovations (3PBI)” (codice UGOV.
P; Codice MUR.
S4EAS9; CUP.
D53D) finanziato dall’Unione europea – Next Generation EU M4C2 investimento 1.
.
Job Research Unit.
AXES Job Contract Type.
Assegno di ricerca Full call -rc-settore_farmaceutico-full_call-it.
df Si segnala che per la presentazione delle candidature sul sito PICA al momento NON E' DISPONIBILE il login tramite SPID - Si prega di effettuare la registrazione secondo le modalità alternative Application Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.
Info Personal info and contact info (compulsory) Number of your Identity Document (Passport or Identity Card) (compulsory) University degree and ongoing PhD (compulsory) Attachments Your CV in English (compulsory) Online Application Form Contacts.
Dettagli dell'offerta
- Imprecisato
- Tutta l'Italia
- Imprecisato - Imprecisato
- 02/07/2024
- 30/09/2024
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