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Phd Python Jobs in Alabama (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Birmingham, AL · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

Senior Scientific Reviewer - Physics

Mobile, AL · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Tuscaloosa, AL · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Huntsville, AL · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Mobile, AL · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Montgomery, AL · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

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Phd Python information

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.

What skills and qualifications are needed to thrive as a PhD Python developer?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within research or industry settings?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas and use Python as a primary tool for research and data analysis. Gaining expertise in Python, along with a strong foundation in research methods, is essential for completing such a PhD.

What are 10 careers related to Python?

Careers related to Python include software developer, data scientist, machine learning engineer, backend developer, automation engineer, data analyst, research scientist, DevOps engineer, cybersecurity analyst, and quantitative analyst. These roles often require strong programming skills, knowledge of libraries like Pandas or TensorFlow, and experience with software development environments. Python's versatility makes it applicable across industries such as finance, healthcare, technology, and research.

Which Phd Python job is in demand?

PhD Python roles in data science, machine learning, and artificial intelligence are currently in high demand, especially in research institutions, tech companies, and finance. These positions often require strong programming skills, experience with frameworks like TensorFlow or PyTorch, and advanced knowledge of algorithms and data analysis.

What are popular job titles related to Phd Python jobs in Alabama?

For Phd Python jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Phd Python jobs in Alabama look for?

The top searched job categories for Phd Python jobs in Alabama are:

Phd Python jobs near you

Senior Software Engineer

Modern Technology Solutions

Huntsville, AL • On-site

$116K - $154K/yr

Other

Posted 5 days ago

Job description

We are seeking an experienced Senior Software Engineer with a strong background in algorithm design, optimization, and implementation using C++, FORTAN, Python, and MATLAB. The ideal candidate excels at solving complex technical challenges, designing efficient software architectures, and working collaboratively within cross-functional engineering teams.
Responsibilities
Design, develop, and optimize algorithms for complex software systems.
Implement high-performance, reliable, and maintainable code using modern standards.
Analyze system requirements to architect scalable algorithmic solutions.
Profile and optimize existing algorithms for speed, accuracy, and resource usage.
Integrate software components written in multiple programming languages, ensuring seamless interoperability and consistent functionality across C++, Python, MATLAB, and legacy codebases.
Collaborate with systems engineers, domain experts, and other software developers to integrate algorithms into larger applications.
Write unit tests, participate in code reviews, and ensure code quality across the software lifecycle.
Document algorithmic approaches, assumptions, and performance metrics.
Troubleshoot and resolve technical issues in both new and legacy codebases.
Required Qualifications
Note: ship and an Active Security Clearance is required
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.
7+ years of professional software engineering experience.
Strong expertise in modern C++ (including templates, STL, memory management, and object-oriented design), with additional professional experience in Python, MATLAB, and Fortran.
Demonstrated experience developing and implementing complex algorithms.
Skilled in debugging, profiling, performance tuning, and code optimization.
Experience with version control systems such as Git.
Ability to work independently on technically challenging problems and contribute within a collaborative team setting.
Strong analytical, mathematical, and problem-solving skills.
Preferred Qualifications
Master's or PhD in a technical field related to algorithms or software engineering.
Experience with real-time systems or high-throughput data processing.
Knowledge of numerical methods, signal processing, or related algorithmic domains.
Experience modernizing or integrating legacy Fortran-based algorithms into contemporary software systems.
Familiarity with CI/CD pipelines, DevSecOps, containerization, or automated testing frameworks.
Experience with Linux development environments.
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