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We welcome participants from all career stages and encourage applications from graduate students,
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postdocs and early career researchers.
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Before applying consider what you can bring to the even:
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Before applying consider what you can bring to the event:
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by pitching a project,
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by your knowledge of data sets,
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by your programming/computational skills,
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**Q: I am proficient in Matlab / R / other languages but have not used Python. It has been on my list to learn. How can I make my application be stronger?**
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We want to build an inclusive Oceanography community regardless of people’s language of choice and programming level.
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Note that most of the tutorials will be presented in Python,
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and participants will benefit the most if they have basic Python skills.
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We plan to accept participants with diverse skill levels and backgrounds in programming.
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We expect that you have gone through the [Software Carpentry Python tutorial](http://swcarpentry.github.io/python-novice-gapminder) to get familiar with the syntax in advance of the program.
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The more experience you can obtain before the beginning of the program,
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the easier it will be to follow the tutorials and contribute to the projects.
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However, to best benefit from and contribute to the program, participants are expected to have some experience with Python and/or R programming. Python will be the primary language used, but R examples and projects will be encouraged as well.
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Applicants with an extensive programming background in other languages (e.g. Matlab) are welcome to apply,
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if they are willing to get up-to-date on the required basics before the program.
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Due to the compressed nature of OHW 2020, the focus of the event will be in Python with some tutorials and projects conducted in R. Participants whose primary language is R should familiarize themselves with the materials included in [Python novice gapminder](https://swcarpentry.github.io/python-novice-gapminder/) and [R novice gapminder](http://swcarpentry.github.io/r-novice-gapminder/). These are a good reflection of the level we expect participants to be at coming into the workshop. [The Programming with Python materials](https://swcarpentry.github.io/python-novice-inflammation/) also provides a solid refresher of basic Python skills.
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**Q: I don't know the first thing about version revision/control systems. Can I still apply?**
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and might not find the hackweek the best place to learn programming.
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If you do not have any programming experience we encourage you to start with some local or online training.
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Check if your institution runs a [Software Carpentry workshop](https://software-carpentry.org/workshops/),
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or try learning by going through the [Python Novice Lesson](http://swcarpentry.github.io/python-novice-gapminder).
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Check if your institution runs a [Software Carpentry workshop](https://software-carpentry.org/workshops/).
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Once you have gone through some training you will have a better understanding of whether Oceanhackweek is right for you.
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We expect that you have basic operational knowledge of Python in advance of the program.
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**Q: I work in an ocean engineering/robotics/consulting company. Can I apply?**
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We expect participants from the private sector to pay for their own expenses.
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<!--We expect participants from the private sector to pay for their own expenses.-->
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Make sure to explain your motivation for participation in the application form!
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We may hold a career panel discussion,
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so please mention if you are interested in participating.
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