SCIENCE-JOBS-DE Stellenausschreibung (vacancies)
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Dieses Angebot wurde eingegeben bei http://www.drarbeit.de,
der Internet-Stellenboerse und Kooperationspartner von
SCIENCE-JOBS-DE f�r Diplom- und Promotionsarbeiten
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Fachgebiete: Informatik Mathematik Physik
Thema: Doktorarbeit / Diplomarbeit: Pollution and health AI modeling
Ansprechpartner: Herr Hakan Lane
Antwort an: [log in to unmask]
Institution: Data Mining
Ort: 55128 Mainz, Staudingerweg 9
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Here is a potential job ad for a Ph.D. project on the communication between heart disease and air pollution solved via AI modeling:
Job Title: Ph.D. Researcher in Artificial Intelligence and Cardiovascular Health
Project Title: "Unraveling the Connection between Heart Disease and Air Pollution: An AI-based Modeling Approach"
Location: [Insert location, e.g., university, research institute, hospital]
Duration: 3-4 years (Ph.D. program duration)
Job Description:
We are seeking a highly motivated and talented Ph.D. researcher to join our team in investigating the relationship between air pollution and heart disease using artificial intelligence (AI) modeling. The successful candidate will be part of a multidisciplinary team of researchers from the fields of epidemiology, cardiology, environmental health, and computer science.
The project aims to develop novel AI-based methods to analyze large datasets and identify the complex relationships between air pollution exposure and cardiovascular disease risk. The research will involve:
Data collection and preprocessing: gathering and processing large datasets on air pollution concentrations, cardiovascular disease outcomes, and individual-level characteristics.
Machine learning modeling: developing and training machine learning algorithms to identify patterns and relationships between air pollution exposure and cardiovascular disease risk.
Statistical analysis: applying statistical techniques to validate the results of the machine learning models and identify potential confounding factors.
Interpretation and visualization: interpreting the results of the analysis and visualizing the findings to facilitate communication with stakeholders.
The successful candidate will be expected to:
Conduct original research under the supervision of a senior researcher
Design, develop, and implement machine learning models using Python or R
Analyze and interpret large datasets
Prepare and present research results in scientific papers and presentations
Collaborate with team members from diverse backgrounds
Communicate research findings to stakeholders, including clinicians, policymakers, and the general public
Requirements:
Master's degree in Computer Science, Epidemiology, Biostatistics, or a related field
Strong background in machine learning, data analysis, and programming (Python or R)
Excellent analytical and problem-solving skills
Ability to work independently and collaboratively as part of a team
Strong written and oral communication skills
Familiarity with data visualization tools (e.g., Tableau, Power BI) is an asset
What We Offer:
A challenging and stimulating research project with opportunities for original contributions
A dynamic and collaborative research environment
Supervision by experienced researchers in the field
A competitive salary and benefits package
Opportunities for professional development and networking
How to Apply:
If you are interested in this exciting opportunity, please submit your application, including:
A cover letter outlining your research interests, relevant experience, and motivation for applying
A CV with a list of academic achievements, publications, and relevant work experience
A summary of your Master's thesis (if applicable)
Contact information for two academic referees
Applications should be submitted electronically to [log in to unmask] The application deadline is 15.06.
We look forward to receiving your application!
Anfangsdatum: 1. September 2024
gesch�tzte Dauer: 3 jahre
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Mehr Informationen zu SCIENCE-JOBS-DE finden Sie im WWW unter der Adresse http://jobs.uni-hd.de insbesondere Informationen fuer Anbieter und "Netiquette".
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