Help & Supportcareers@gravityer.com
PhD Fellow (Land-CRAFT, Aarhus University) Interests: python, Arduino, RPi, R, C++, ML, DL, DCNNs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
containers
November 3, 2025 – November 20, 2025
This repository is to be used during my practical teaching session on container basics. Feel free to explore!
View Projectbust_boredom_intentionally
September 25, 2025 – Present
This repo contains scripts for running a MacOS boredom buster random selector that user can link to local and/or online resources for intentionally spending their time procrastinating. I made this because I wish to use my time spent *bored* into projects/self learning to-dos that I choose. Cheers to claiming back our time ;)
View Projectlandcraft_onboarding_chatbot
September 19, 2025 – Present
This chatbot pulls information from Aarhus University only-accessible One Drive to help new Land-CRAFTers access information and resources they need.
View ProjectReproducibleQuantitativeDataAnalysis-2025
June 17, 2025 – November 11, 2025
Repository for the UCPH SCIENCE PhD course Reproducible Quantitative Data Analysis 2025
View Projectsources
May 23, 2025 – November 10, 2025
zip files for referencing publicly downloaded files
View ProjectgoFlux
August 30, 2023 – Present
goFlux: A user-friendly way to calculate GHG fluxes yourself, regardless of user experience
View ProjectDecision-Analysis-Laser-leveling
May 29, 2023 – July 14, 2023
Group project by Mary Grace Barbacias, Marina Bigerna, Sara Florido, Arnaud Kentsa, and Frederic Schoenbach under Prof Corey Whitney and Eike Luedeling in Decision Analysis and Forecasting in Agricultural Development module at Bonn University. Makes use of the R package decisionSupport (Luedeling et. al).
View ProjectTree-Phenology-using-R_files
March 9, 2023 – March 15, 2023
Codes and files used for submission for WiSe 2022 under Professor Eike Lüdeling. chillR package was used to project climate scenarios for chosen locations using temperature datasets from GSOD (Global Surface Summary of the Day) and DWD (Deutscher Wetterdienst)
View ProjectCultural Fit Analysis
The candidate's personal projects, particularly those related to environmental science (goFlux, Tree-Phenology-using-R_files) and academic teaching (ReproducibleQuantitativeDataAnalysis-2025, containers), suggest an interest in impactful work and knowledge sharing. The diversity of projects, from scientific analysis to utility scripts, indicates a broad curiosity and willingness to tackle different types of problems. This aligns well with a culture that values continuous learning and practical application.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an independent and proactive approach to problem-solving (e.g., 'bust_boredom_intentionally'). Participation in group projects indicates an ability to collaborate. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.