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Are there any graduate assistantships available?
Most assistantships would be found on the LSU Handshake website (https://www.lsu.edu/careercenter/students/handshake.php) , though some opportunities are handled directly through the hiring department. It wouldn't hurt to check with a staff member in your graduate program to see if they are aware of assistantships not listed on Handshake. ________________________________________________________________________ More information on Handshake.... How to Access Handshake Admitted Students Undergraduate and Graduate students receive access to Handshake on June 15. At that time, you can log in to Handshake using your myLSU email and password at lsu.joinhandshake.com (https://lsu.joinhandshake.com/) or download the Handshake Jobs & Careers App (download in the Apple App Store (https://apps.apple.com/app/apple-store/id1220620171) or download through Google Play (https://play.google.com/store/apps/details?id=com.joinhandshake.student…) ). If a user experiences a barrier in access to Handshake or content within due to a disability, please contact the LSU Olinde Career Center at career@lsu.edu (mailto:career@lsu.edu) . For information on how to apply to on-campus and off-campus jobs, visit the Student Employment webpage (https://www.lsu.edu/careercenter/studentemployment/students.php) . If you would like to schedule a meeting with our team, or access other career center resources prior to receiving Handshake access, please contact us at career@lsu.edu (mailto:career@lsu.edu) and we are happy to assist you. Graduate Students: Please note, while some graduate assistantships may be posted in Handshake, most opportunities are managed directly through the hiring department. Please contact your graduate program and campus contacts directly to inquire about available assistantships. Alumni Alumni retain free access to Handshake and to most other career center resources, including appointments with the career center team. View the Alumni Resources page to request Handshake access (https://www.lsu.edu/careercenter/students/alumni.php) . Rsum Uploads Please make note that all rsums must be approved by the LSU Olinde Career Center before becoming active in Handshake for applying for jobs or participating in on-campus interviews. Please be prompt in submitting a rsum for activation in Handshake. The career center makes every effort to be timely in the document approval process, but cannot guarantee a turnaround of less than two (2) business days. Fraudulent and Scam Job Postings We work hard to keep fraudulent postings out of Handshake (https://www.lsu.edu/careercenter/students/handshake.php) by using some common red flags typically considered suspicious. While red flags dont automatically remove a job posting, we research the company and posting if suspicion arises before making a decision. You should research suspicious companies or postings, too (or dont apply). The Fraudulent and Scam Job Postings (https://www.lsu.edu/careercenter/about/FraudulentandScamJobPostingsbook…) guide outlines red flags so you, too, can attempt to identify such scam or fraudulent postings. Our position: Never apply for a suspicious job. Questions? Contact career@lsu.edu (mailto:career@lsu.edu) . Answered by: Gabriella Lindsay

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Good Catch : A Guide to Sustainable Fish and Seafood with Recipes From the World's Oceans - A Cookbook
A stunning and inspiring guide to selecting, preparing, and enjoying sustainable seafood, with 75 recipes, from a world-class spearfisherwoman. Growing up in Montreal, Valentine Thomas was not innately drawn to the water; in fact, it scared her. But later, dissatisfied with her work in corporate law and finance, she was introduced to a sport called spearfishing while on holiday in Ibiza. The ocean—which she had once feared—became her greatest passion, and she made fishing and diving her life's work. In Good Catch, Valentine shares her love for the bounty of waters around the world, as well as her enthusiasm and expertise for cooking fish and seafood in a sustainable way. The recipes, inspired by Valentine's favorite fishing destinations, are organized by region, and include both classic and creative preparations, such as Grilled Clams with Butter, Garlic, and Parsley, a Seafood Boil, Snapper Panzanella with Grapefruit, and Fish Head Nachos. Valentine also teaches readers the surprisingly simple skills they'll need to build a responsible repertoire of seafood recipes, provides tips for making the most eco-friendly choices, and discusses the best ways to prepare each and every type of fish, from raw dishes like ceviche to a baked whole fish. Illustrated by gorgeous photography of both the dishes and scenes from Valentine's dramatic dives, Good Catch is more than just a fish cookbook—it's an adventure into the world of delicious and sustainable seafood. Whether you are new to cooking fish or a seasoned pescatarian in search of more seafood cookbooks, Good Catch is sure to please!
Catch Efficiency and Economic Analysis for Traditional Fishing Gear (Troll Lines) Operated along the Coromandel and Gulf of Mannar Coasts (Southeast India)
This study evaluated the effects of three different J hook types, single hook no. 6, double hook no. 6, and triple hook no. 8, on catch rate, catch composition, and economics of two traditional troll-line methods used along the southeast coast of India. Traditionally, the hand-and leg-held troll line has been used in the Gulf of Mannar (GoM), and the outrigger boomheld method has been used on the Coromandel (CoM) coast. The studies were conducted at fortnightly intervals between June 2020 and January 2021. The overall catch rate (no. h⁻¹) was found to be highest with the double hook (0.6 fish h⁻¹) and lowest with the triple hook (0.04 fish h⁻¹) on the CoM coast, while the single hook (0.34 fish h⁻¹) and triple hook (0.02 fish h⁻¹) showed the highest and lowest catch efficiency along the GoM coast, respectively. The catch composition was constituted by Scomberomorus commerson (36%), Auxis thazard (18%), Euthynnus affinis (16%), Caranx ignobilis (13%), Thunnus albacares (9%), Scomberomorus guttatus (7%), Coryphaena hippurus (0.8%), and Istiophorus platypterus (0.2%) in the GoM, while it was Thunnus albacares (45%), Euthynnus affinis (18%), Auxis thazard (14%), Istiophorus platypterus (7%), Coryphaena hippurus (6%), Acanthocybium solandri (5%), Scomberomorus commerson (3%), and Caranx ignobilis (2%) on the CoM coast. The chi-square test showed a significant correlation between hook type and fish composition (X² = 9650.6, df = 16, p , 0.05). The current study demonstrated a net profit improvement of 3313 rupees/trip at GoM and 2093 rupees/trip at CoM. The benefit-cost ratio (B:C) for GoM and CoM was calculated to be 1.84 and 1.76, respectively.
Field-Level Classification of Winter Catch Crops Using Sentinel-2 Time Series: Model Comparison and Transferability.
Winter catch crops are promoted in the European Union under the Common Agricultural Policy to improve soil health and reduce nitrate leaching from agricultural fields. Currently, Member States often monitor farmers' adoption through on-site inspections for a limited subset of parcels. Because of its potential for region-wide coverage, this study investigates the potential of Sentinel-2 satellite time series to classify catch crops at the field level in Flanders (Belgium). The first objective was to classify catch crops and identify the optimal model and time series input for this task. The second objective was to apply these findings in a real-world scenario, aiming to provide reliable early-season predictions in a separate target year, testing early-season performance and temporal transferability. The following three models were compared: Random Forest (RF), Time Series Forest (TSF), and a One-Dimensional Convolutional Neural Network (1D-CNN). The results showed that, with a limited field-based training dataset, RF produced the most robust results across different time series inputs, achieving a median F1-score of >88% on the best dataset. Additionally, the early-season performance of the models was delayed in the target year, reaching the F1-score threshold of 85% at least one month later in the season compared to the training years, with large timing differences between the models. [ABSTRACT FROM AUTHOR]