Python Scipy Jobs

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Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
CANCER 3D Modeling from 2D DICOM Images ==================================== I am a student in a university with a health background and some basic information in Python. I am working in a cancer visualization and extraction project and looking for an experienced software programmer using python and have experience in medical imaging as DICOM images (digital imaging and communication in medicine).This project continues for one month and through it I want the programmer to make 3D reconstruction from 2D DICOM images. The program also makes extraction and segmentation of the tumor tissue from the background and segmentation of other tissues. Then it renders the 3D model of the extracted tumor. We need to use different kinds of algorithms as marching cube algorithm including interpolation and approximation for 3D reconstruction. Developer may use segmentation algorithms as K-means, region growing, threshold and the likes. I already started the work and I have online resources for DICOM images, I performed some scripts related to this work and downloaded some open-source of DICOM images software processing images as 3D slicer and imageJ. All of these I will provide the programmer to start his/her work. Program Requirements A program is needed to be written in Python. It will do the following: 1. Read sequence of DICOM .DCM images (2D) and render them in sequence and the sequence can be controlled with the mouse back and forth. (Already completed) 2. Segmenting and analyzing the 2D DICOM images and separate areas that are likely to be cancer (We will give the programmer some algorithms recommendations as well as the density that are likely to be cancer), separate cancer areas in new sequence of DICOM images, example: a. Original DICOM images (1.dcm, 2.dcm, 3.dcm, 4.dcm, 5.dcm, 6.dcm, 7.dcm, 8.dcm, 9.dcm, 10.dcm, 11.dcm, 12.dcm). b. The DICOM that contains cancer would be: (3.dcm, 4.dcm, 5.dcm, 11.dcm, 12.dcm). c. The following requirement in number (3), it will build the 3D model from the cancer DICOM images in (b) above. 3. Then build a 3D construction from the DICOM sequence. The 3D model should be controlled with degrees of depth (From skin to the deepest structure). (Completed partly) Figure 1: (2D DICOM image) Shows cancer in blue circle, the cancer can be analyzed according to several algorithms, some of them consider the brightness, some the circular shape, and some the density. The developer can use any algorithm that sees fits, to determine the cancer area in DICOM images.
Skills: Python SciPy 3D Rendering Image Editing Image Processing
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
I have raw exports from a Wordpress website, which can be shared as a 350MB zip file containing XML files. The XML files contain structured data representing the news stories on our website, including: Headline, Publication Date, Author, Article Content. We are trying to understand a few different things about the content on our website. 1. What topics do our journalists write about? 2. What topics do our journalists write about with authority? 3. How well does our site taxonomy describe or organize our content? 4. Based on an analysis of the stories, can we do a better job of related our content? I am looking for someone to conduct an analysis of our content. The right candidate will be able to: * Identify 10-20 topics or subjects that are discussed across a number of articles; determine the topics that the website has "topic authority" (we can discuss what constitutes a "topic" before we begin, and what constitutes "authority") * Generate a list of articles that discuss each of these topics * Analyze topic authority as a function of Author and Content Category of the website (for example, the website has a category "News & Politics" as well as "Business & Technology, etc... What topics do are covered by those categories?) You should be capable of providing the source code and outputs in the form of CSV files and plots (generated using the tool of your choice, but ideally R, Python or an open-source solution).
Skills: Python SciPy Python Python Numpy R
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Looking for an individual with a background in biomedical engineering, electrical engineering, or physics who has a firm grasp manipulating and analyzing continuous time-series data. Working with the project manager, this project requires planning, developing, and implementing a physiological data analysis scheme comprising of signal processing and synchronization, feature engineering, and probabilistic classification analysis using machine learning methods in MATLAB and/or Python.
Skills: Python SciPy Data Engineering Machine learning MATLAB
Hourly - Expert ($$$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Looking for Web Developer proficient in HTML 5, CSS3, Javascript & PYTHON, MYSQL/ sqlite3 to help develop a trading website. This project contains a front end and a back end side to it and may be split into two, so if you are only comfortable in HTML 5, CSS3, Javascript, feel free to apply as well. The first deliverable is the front end side. The ideal candidate will be a flexible who can contribute to the specifications of the website and adapt to changes as they occur
Skills: Python SciPy CSS HTML5 JavaScript
Hourly - Intermediate ($$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
HTML interface work and python on going help be need send a sample of your work both HTML and HTML 5 and python send the sample as a attachment
Skills: Python SciPy HTML5 PHP Python
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for an expert in Machine Learning, TensorFlow and Python. Work specification: Using ML, create a model to predict the score in a professional soccer game. Each minute new data will be available, and the goal is to predict every minute which team will be ahead 15 minutes in the future. Train the model using 500 soccer games, using various sets of data, such as: shots on goal, blocked goals, completed passes, etc. Also available will be data from previous games such as age of the players, lifetime goals, etc. It is not important whether the model you create has high predictive value. What is important is setting up the infrastructure so we can easily train the model with new data. You must write the work using TensorFlow, Python and SkFlow. You must document which ML methods you use (eg, Random Forest, multilayer perceptron, etc).
Skills: Python SciPy Machine learning Python TensorFlow
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
RESPONSIBILITIES Implement newest deep learning algorithms from research literature Develop algorithms with our senior researchers Brainstorm new algorithmic ideas Read new articles and introduce them to team Analyze performance of used algorithms Contribute to the technical discussions within the team and contribute new ideas. Gather materials for dialogue + deep learning blog / newsletter MUST HAVE Degree or experience in computer science research or software development Basic understanding of machine learning and deep learning Good programming skills Good English communication skills Ability to work in a team, good organisational skills and a positive attitude Passion to improve dialogue modeling using artificial intelligence NICE TO HAVE Academic or industry experience in deep learning. Familiarity with existing deep learning libraries (e.g. TensorFlow, Torch, Theano, Caffe, PyBrain, etc.). Familiarity with SciPy stack. Ability to code in C/C++ and Python. Professional experience in software development. Comfortable working in Linux environment.
Skills: Python SciPy C++ Deep Learning Machine learning
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
We need a Deep Learning Research Engineer who is passionate about taking AI to the next level, and who is interested in building the company alongside the founders. YOUR RESPONSIBILITIES Develop new methodologies for dialogue modeling, leveraging latest research in deep learning, machine learning, natural language processing and question answering. Prototype integration of developed algorithms into a final product. Develop, implement and test deep learning research ideas together with the team. Contribute to the technical discussions within the team and contribute new ideas. MUST HAVE Master’s degree, PhD or equivalent in artificial intelligence, deep learning, machine learning, data science, computer science, or a similar field. Academic or industry experience in deep learning. Familiarity with existing deep learning libraries (e.g. TensorFlow, Torch, Theano, Caffe, PyBrain, etc.). Passion to develop and expand deep learning technologies. Strong programming skills. Good English communication skills. Ability to work in a team, good organisational skills and a positive attitude. Passion to improve dialogue modeling using artificial intelligence. NICE TO HAVE Experience in implementing algorithms in TensorFlow. Familiarity with SciPy stack. Professional experience in software development. Ability to code in C/C++ and Python. CUDA optimization experience. Understanding of reinforcement learning. Strong publication record in the relevant venues such as ICML, NIPS, ICLR, ACL, ECML or KDD. Comfortable working in Linux environment. Familiarity with agile software development.
Skills: Python SciPy C++ Deep Learning Machine learning
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
We are data science consulting company based in California www.einsteinassembly.com We are looking for 4 freelance data scientist for our consulting clients If you have good knowledge of R or Python and specialized in any of Machine learning area with business domains like Real Estate , Marketing, Sports, Social Media, web analytics, NLP , Recommendation models . Reinforcement Learning, Expert Systems in AI. Please apply with sample project sharing. The selection will be based on you knowledge and experience in specific projects.
Skills: Python SciPy Algorithms Apache Spark Artificial Intelligence