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Internship Python Pandas information

What are the key skills and qualifications needed to thrive as an Internship Python Pandas, and why are they important?

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What are Internship Python Pandas positions?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

What is the difference between Internship Python Pandas vs Data Analyst?

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What are popular job titles related to Internship Python Pandas jobs in Kentucky? For Internship Python Pandas jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Internship Python Pandas jobs in Kentucky look for? The top searched job categories for Internship Python Pandas jobs in Kentucky are:
Internship Python Pandas jobs near you
Asst/Associate Professor Artificial Intelligence in Agriculture

Asst/Associate Professor Artificial Intelligence in Agriculture

Kentucky State University

Frankfort, KY • On-site

Other

Posted 14 days ago

Be an early applicant

Job description

TITLE: Assistant/Associate Professor of Artificial Intelligence in Agriculture, Aquaculture, and Natural Resources

DEPARTMENT: Colleges of Agriculture, Health Sciences, and Natural Resources

REPORTS TO: Dean or Department Chair

CLASSIFICATION: Faculty

EFFECTIVE DATE: TBD

STANDARD WORK HOURS: 40 hours per week

LOCATION: On-Site-Main Campus

EMPLOYMENT STATUS: Full-Time

EMPLOYMENT CLASSIFICATION: Exempt

JOB SUMMARY:

The Assistant/Associate Professor of Artificial Intelligence (AI) in Agriculture, Agriscience, Aquaculture, and Natural Resources will lead efforts to integrate AI-driven approaches into teaching, research, and community engagement activities. The successful candidate will develop innovative methods for applying AI to address challenges in sustainable agriculture, aquaculture, environmental management, and natural resource conservation. This position directly supports Kentucky State University’s mission to serve the Commonwealth and broader community through innovative research, experiential learning, and public service.

ESSENTIAL JOB FUNCTIONS:

  • Conduct interdisciplinary research in AI applications within agriculture, agriscience, aquaculture, and natural resources.
  • Develop and teach undergraduate and graduate courses related to AI and its applications in agricultural and environmental sciences, utilizing project-based and active learning pedagogy.
  • Supervise student research projects, serve on graduate committees, and mentor students in scholarly activities.
  • Collaborate with faculty, industry partners, and community stakeholders to develop AI solutions for agricultural and environmental challenges.
  • Build institutional capacity in the application of AI and emerging technologies across the College of Agriculture, Health Sciences, and Natural Resources to enhance research, instruction, and outreach.
  • Seek and secure external funding to support research programs, equipment acquisition, and student development.
  • Publish scholarly research in peer-reviewed journals and present findings at professional conferences.
  • Lead or participate in outreach and extension initiatives that integrate AI into community programs, promoting innovation, productivity, and sustainability.
  • Participate in departmental, college, and university committees and comply with institutional policies and procedures.
    Maintain accurate records of teaching assignments, grades, and research or grant documentation in accordance with university policy.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Strong background in artificial intelligence, machine learning, and data analytics as applied to agricultural and environmental systems.
  • Proficiency in programming languages such as Python, R, Java, or C++, and machine learning frameworks/libraries such as Pandas, NumPy, TensorFlow, or PyTorch.
  • Knowledge of agricultural systems, aquaculture practices, and natural resource management.
  • Understanding of data ethics, responsible AI practices, and applications of AI in sustainability and public health.
  • Excellent teaching, mentoring, and written and verbal communication skills.
  • Ability to work collaboratively with diverse colleagues, students, and external partners.
  • Demonstrated experience in securing and managing research funding.

SUPERVISORY RESPONSIBILITY:

  • May provide functional supervision to graduate assistants, research interns, or student workers as assigned.

OTHER DUTIES:

  • Performs other related duties as assigned in support of the university’s mission, programs, and research initiatives.

QUALIFICATIONS:

  • Ph.D. in Artificial Intelligence, Agricultural Engineering, Computer Science, Health Informatics, or a closely related discipline.
  • Demonstrated record of research in AI applications to agriculture, natural resources, public health, health sciences, or aquaculture.
  • Evidence of teaching excellence and curriculum development at the undergraduate and/or graduate level.
  • Experience with grant writing, interdisciplinary collaboration, and applied research preferred.


The minimum qualifications for appointment to the faculty in the rank of assistant professor, in academic areas where the doctorate is the terminal degree, include the following:

  • Possession of the master’s degree in the teaching discipline or a related field and two years of full-time study beyond the master’s degree or its equivalent (a minimum of 45 semester credits).
  • Two years of full-time teaching experience in an institution accredited by one of the accrediting agencies recognized the US Dept. of Education (or its equivalent as determined by the academic unit/division, the unit supervisor, the appropriate Dean, and the Provost/Vice President for Academic Affairs). The terminal degree may substitute for experience.
  • Potential for professional growth and achievement.


The minimum qualifications for appointment to the faculty in the rank of associate professor include the following:

  • Possession of the earned doctoral degree or its equivalent.
  • Evidence of professional achievement.
  • Potential for further professional growth and achievement.
  • Five years of full-time teaching experience in an institution accredited by one of the accrediting agencies recognized by the US Dept. of Education (or its equivalent as determined by the academic unit/division, the unit supervisor, the appropriate Dean, and the Provost/Vice President for Academic Affairs).

Licensing and Certifications:

WORKING CONDITIONS:

  • Work is performed primarily in an office, classroom, and laboratory environment on the main campus.
  • Position involves frequent use of computers, laboratory equipment, and digital instructional technologies.
  • Requires extended periods of sitting, standing, or walking between offices, classrooms, or research facilities.
  • Occasional travel required for conferences, fieldwork, research, and outreach activities.
  • May occasionally work evenings or weekends to meet program, grant, or outreach obligations.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.


Applicants must be authorized to work for any employer in the United States. At this time, Kentucky State University is unable to sponsor or take over sponsorship of an employment visa

Internal candidates are encouraged to apply.


KENTUCKY STATE UNIVERSITY is an Equal Opportunity Employer

The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform.