Genetic Algorithms Jobs

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Hourly - Entry Level ($) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
I am looking for a developer to help me algorithm creation. I am interested in job matching algorithms for a social app for a specific demographic using clients skills and and education background with GPS location for other features. Please read this article which will give you an idea of what I'm looking for. I need you to provide me with proposal of how you will create an algorithm that will match job applicants with job postings that are in his city. YOU MUST HAVE PREVIOUS EXPERIENCE WITH ALGORITHMS. Our application is like Tinder but for job seekers. https://www.oreilly.com/ideas/algorithms-and-architecture-for-job-recommendations
Skills: Genetic Algorithms Algorithm Development Algorithms OCR algorithms
Fixed-Price - Intermediate ($$) - Est. Budget: $2,000 - Posted
Looking for a young geneticist, biotechnologist or molecular biologist or bioinformatician or biostatistician to complete smart data entry in a custom genotyping db. Tasks to perform: 1. Public db search about SNPs population frequencies (Ancestral allele frequency) for different ethnicity 2. Publications data mining to determinate the SNPs interpretation (Risk allele) according to a specific metabolic need 3. Writing Gene function description in relationship to this specific metabolic need 4. Writing short SNPs descriptions according to the specific metabolic need. 400 SNPs. Job ready to start. Budget to be defined.
Skills: Genetic Algorithms Academic Writing Bioinformatics Biology
Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
The itinerary planning problem in an urban public transport system constitutes a common routing and scheduling decision faced by travelers. The objective of this project is to solve the itinerary planning problem, i.e., determination of the itinerary that lexicographically optimizes a set of criteria (i.e. total travel time, number of transfers, and total walking and waiting time) while departing from the origin and arriving at the destination within specified time windows. The final objective is to develop an mobile application and website for the web based journey planning system while its performance would be assessed by solving real life itinerary planning problems. This particular job post is to find qualified and potential people, having experience in the itinerary planning algorithm development and design. It is not needed to have knowledge in the mobile apps development and web site development related issues. We have our separate team for that. The main requirement/objective of this job proposal is to find expert candidates, who can guide/suggest us regarding this problem. Who has knowledge in concerned state-of-the-art techniques and who can design and develop the architecture of this algorithm. There are plenty of such Itinerary planning websites and apps are already exists. There are also several research papers exists in this domain. Please note that the main goal/objective is to choose relevant algorithm from the literature and to develop/adapt it according to the requirement of the project. We are not at all looking for doing any sort of research into these problem. We would like to develop our first prototype by utilizing the existing algorithms. So, please if you have experience and knowledge into this domain then you are highly welcomed to respond. some existing examples of itinerary planning sites are : http://www.ratp.fr/ http://www.tcl.fr/ http://www.atm-mi.it/ 21 http://www.actv.it/ http://journeyplanner.9292.nl/ http://www.delijn.be/ http://www.tokyo-subway.net/english/ 25 http://rtachicago.com/ http://www.metro.net/ http://tripplanning.translink.ca/ I am also attaching one research article as reference on this problem.
Skills: Genetic Algorithms Algorithm Development C++ Data mining
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
I'm looking for a developer who is familiar with evolutionary algorithms (such a Genetic Algorithms) for an optimization problem: - Develop a database schema to hold employee information pertinent to scheduling optimization. - Generate a close to optimal schedule that matches employees (pilots) to available flights during the week based on training requirements and pilots' personal availability. The optimization engine will eventually need to be able to take inputs from a web app and output the results in a format that a web app can interpret and display (like JSON).
Skills: Genetic Algorithms Algorithms Mathematics